Overview

Dataset statistics

Number of variables36
Number of observations3082
Missing cells48008
Missing cells (%)43.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory866.9 KiB
Average record size in memory288.0 B

Variable types

Numeric11
Categorical17
DateTime3
Unsupported5

Alerts

url has a high cardinality: 3082 distinct values High cardinality
name has a high cardinality: 2109 distinct values High cardinality
summary has a high cardinality: 880 distinct values High cardinality
_links.self.href has a high cardinality: 3082 distinct values High cardinality
_embedded.show.externals.imdb has a high cardinality: 309 distinct values High cardinality
_embedded.show.image.medium has a high cardinality: 585 distinct values High cardinality
_embedded.show.image.original has a high cardinality: 585 distinct values High cardinality
_embedded.show.summary has a high cardinality: 556 distinct values High cardinality
_embedded.show._links.self.href has a high cardinality: 633 distinct values High cardinality
_embedded.show._links.previousepisode.href has a high cardinality: 633 distinct values High cardinality
image.medium has a high cardinality: 1017 distinct values High cardinality
image.original has a high cardinality: 1017 distinct values High cardinality
season is highly correlated with number and 9 other fieldsHigh correlation
rating.average is highly correlated with type and 5 other fieldsHigh correlation
_embedded.show.externals.tvrage is highly correlated with season and 10 other fieldsHigh correlation
_embedded.show.externals.thetvdb is highly correlated with season and 6 other fieldsHigh correlation
number is highly correlated with season and 6 other fieldsHigh correlation
id is highly correlated with airtime and 6 other fieldsHigh correlation
type is highly correlated with airtime and 5 other fieldsHigh correlation
airdate is highly correlated with airtime and 4 other fieldsHigh correlation
airtime is highly correlated with id and 16 other fieldsHigh correlation
runtime is highly correlated with season and 6 other fieldsHigh correlation
_embedded.show.updated is highly correlated with id and 9 other fieldsHigh correlation
_embedded.show._links.nextepisode.href is highly correlated with id and 12 other fieldsHigh correlation
_embedded.show.dvdCountry.name is highly correlated with id and 10 other fieldsHigh correlation
_embedded.show.dvdCountry.code is highly correlated with id and 10 other fieldsHigh correlation
_embedded.show.dvdCountry.timezone is highly correlated with id and 10 other fieldsHigh correlation
_embedded.show.id is highly correlated with id and 12 other fieldsHigh correlation
_embedded.show.webChannel.id is highly correlated with airtime and 6 other fieldsHigh correlation
_embedded.show.network.id is highly correlated with airtime and 10 other fieldsHigh correlation
number has 81 (2.6%) missing values Missing
airtime has 2159 (70.1%) missing values Missing
runtime has 228 (7.4%) missing values Missing
image has 3082 (100.0%) missing values Missing
summary has 2198 (71.3%) missing values Missing
rating.average has 2786 (90.4%) missing values Missing
_embedded.show.dvdCountry has 3082 (100.0%) missing values Missing
_embedded.show.externals.tvrage has 3025 (98.2%) missing values Missing
_embedded.show.externals.thetvdb has 916 (29.7%) missing values Missing
_embedded.show.externals.imdb has 1471 (47.7%) missing values Missing
_embedded.show.image.medium has 155 (5.0%) missing values Missing
_embedded.show.image.original has 155 (5.0%) missing values Missing
_embedded.show.summary has 313 (10.2%) missing values Missing
image.medium has 2065 (67.0%) missing values Missing
image.original has 2065 (67.0%) missing values Missing
_embedded.show._links.nextepisode.href has 2866 (93.0%) missing values Missing
_embedded.show.webChannel has 3082 (100.0%) missing values Missing
_embedded.show.image has 3082 (100.0%) missing values Missing
_embedded.show.webChannel.country has 3082 (100.0%) missing values Missing
_embedded.show.dvdCountry.name has 3055 (99.1%) missing values Missing
_embedded.show.dvdCountry.code has 3055 (99.1%) missing values Missing
_embedded.show.dvdCountry.timezone has 3055 (99.1%) missing values Missing
_embedded.show.webChannel.id has 85 (2.8%) missing values Missing
_embedded.show.network.id has 2865 (93.0%) missing values Missing
url is uniformly distributed Uniform
summary is uniformly distributed Uniform
_links.self.href is uniformly distributed Uniform
image.medium is uniformly distributed Uniform
image.original is uniformly distributed Uniform
id has unique values Unique
url has unique values Unique
_links.self.href has unique values Unique
image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.dvdCountry is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.image is an unsupported type, check if it needs cleaning or further analysis Unsupported
_embedded.show.webChannel.country is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-09-17 21:55:30.790651
Analysis finished2022-09-17 22:00:28.845769
Duration4 minutes and 58.06 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

id
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct3082
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2035933.641
Minimum1732625
Maximum2394632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:28.995301image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1732625
5-th percentile1962056.05
Q11978424.25
median1990281
Q32041999
95-th percentile2300442.95
Maximum2394632
Range662007
Interquartile range (IQR)63574.75

Descriptive statistics

Standard deviation101736.187
Coefficient of variation (CV)0.04997028633
Kurtosis2.658955326
Mean2035933.641
Median Absolute Deviation (MAD)14254.5
Skewness1.866356624
Sum6274747482
Variance1.035025175 × 1010
MonotonicityNot monotonic
2022-09-17T22:00:29.238527image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21538441
 
< 0.1%
19873331
 
< 0.1%
20365391
 
< 0.1%
20138701
 
< 0.1%
21183191
 
< 0.1%
19852001
 
< 0.1%
19760361
 
< 0.1%
19852021
 
< 0.1%
21973081
 
< 0.1%
20624071
 
< 0.1%
Other values (3072)3072
99.7%
ValueCountFrequency (%)
17326251
< 0.1%
18065901
< 0.1%
18645781
< 0.1%
19104461
< 0.1%
19104471
< 0.1%
19104481
< 0.1%
19104491
< 0.1%
19200591
< 0.1%
19200601
< 0.1%
19200611
< 0.1%
ValueCountFrequency (%)
23946321
< 0.1%
23938091
< 0.1%
23938081
< 0.1%
23938071
< 0.1%
23938061
< 0.1%
23900911
< 0.1%
23900901
< 0.1%
23900891
< 0.1%
23900881
< 0.1%
23900871
< 0.1%

url
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct3082
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
https://www.tvmaze.com/episodes/1967974/stylish-with-jenna-lyons-1x01-the-woman-who-dressed-america
 
1
https://www.tvmaze.com/episodes/2018189/sheker-1x05-gde-moj-staff-suka
 
1
https://www.tvmaze.com/episodes/1969229/til-deg-fra-meg-1x04-episode-4
 
1
https://www.tvmaze.com/episodes/2029455/off-the-cuff-2x03-this-us-city-could-be-sold-to-canada-point-roberts-wa
 
1
https://www.tvmaze.com/episodes/1973987/sweet-home-1x02-episode-2
 
1
Other values (3077)
3077 

Length

Max length174
Median length141
Mean length80.44062297
Min length51

Characters and Unicode

Total characters247918
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3082 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16
2nd rowhttps://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2
3rd rowhttps://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolita
4th rowhttps://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9
5th rowhttps://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80

Common Values

ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1967974/stylish-with-jenna-lyons-1x01-the-woman-who-dressed-america1
 
< 0.1%
https://www.tvmaze.com/episodes/2018189/sheker-1x05-gde-moj-staff-suka1
 
< 0.1%
https://www.tvmaze.com/episodes/1969229/til-deg-fra-meg-1x04-episode-41
 
< 0.1%
https://www.tvmaze.com/episodes/2029455/off-the-cuff-2x03-this-us-city-could-be-sold-to-canada-point-roberts-wa1
 
< 0.1%
https://www.tvmaze.com/episodes/1973987/sweet-home-1x02-episode-21
 
< 0.1%
https://www.tvmaze.com/episodes/2092977/90-day-fiance-extras-1x21-david-annie-the-full-story1
 
< 0.1%
https://www.tvmaze.com/episodes/1986149/song-exploder-2x03-nine-inch-nails-hurt1
 
< 0.1%
https://www.tvmaze.com/episodes/2007851/the-secret-1x03-episode-31
 
< 0.1%
https://www.tvmaze.com/episodes/2005324/laikykites-ten-5x17-nepaprastu-2020-uju-apzvalga1
 
< 0.1%
https://www.tvmaze.com/episodes/1988884/upstart-crow-s03-special-lockdown-christmas-16031
 
< 0.1%
Other values (3072)3072
99.7%

Length

2022-09-17T22:00:29.523382image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/1967974/stylish-with-jenna-lyons-1x01-the-woman-who-dressed-america1
 
< 0.1%
https://www.tvmaze.com/episodes/1976947/ingredients-1x19-out-of-control1
 
< 0.1%
https://www.tvmaze.com/episodes/2178561/oiiiginaler-1x02-godteriku1
 
< 0.1%
https://www.tvmaze.com/episodes/2379929/du-bu-xiao-yao-1x52-episode-521
 
< 0.1%
https://www.tvmaze.com/episodes/2036537/raw-talk-4x28-raw-talk-381
 
< 0.1%
https://www.tvmaze.com/episodes/1988858/sim-for-you-4x20-chanyeols-episode-201
 
< 0.1%
https://www.tvmaze.com/episodes/2311019/toki-wo-kakeru-bando-1x09-electric-chahhan1
 
< 0.1%
https://www.tvmaze.com/episodes/2001718/zona-komforta-s01-special-zona-komforta-osuitelno-specialnyj-vypusk1
 
< 0.1%
https://www.tvmaze.com/episodes/2318106/bride-of-beirut-2x50-episode-501
 
< 0.1%
https://www.tvmaze.com/episodes/1999316/sobrevolando-1x06-peru-a-trilha-inca1
 
< 0.1%
Other values (3072)3072
99.7%

Most occurring characters

ValueCountFrequency (%)
e21086
 
8.5%
-19253
 
7.8%
s15672
 
6.3%
/15410
 
6.2%
t15128
 
6.1%
o13092
 
5.3%
w10444
 
4.2%
a10280
 
4.1%
i9682
 
3.9%
p8910
 
3.6%
Other values (30)108961
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter168600
68.0%
Decimal Number35409
 
14.3%
Other Punctuation24656
 
9.9%
Dash Punctuation19253
 
7.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e21086
12.5%
s15672
 
9.3%
t15128
 
9.0%
o13092
 
7.8%
w10444
 
6.2%
a10280
 
6.1%
i9682
 
5.7%
p8910
 
5.3%
m8621
 
5.1%
d7040
 
4.2%
Other values (16)48645
28.9%
Decimal Number
ValueCountFrequency (%)
17585
21.4%
24994
14.1%
04987
14.1%
94177
11.8%
32494
 
7.0%
82447
 
6.9%
72383
 
6.7%
42156
 
6.1%
52133
 
6.0%
62053
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/15410
62.5%
.6164
 
25.0%
:3082
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-19253
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin168600
68.0%
Common79318
32.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e21086
12.5%
s15672
 
9.3%
t15128
 
9.0%
o13092
 
7.8%
w10444
 
6.2%
a10280
 
6.1%
i9682
 
5.7%
p8910
 
5.3%
m8621
 
5.1%
d7040
 
4.2%
Other values (16)48645
28.9%
Common
ValueCountFrequency (%)
-19253
24.3%
/15410
19.4%
17585
 
9.6%
.6164
 
7.8%
24994
 
6.3%
04987
 
6.3%
94177
 
5.3%
:3082
 
3.9%
32494
 
3.1%
82447
 
3.1%
Other values (4)8725
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII247918
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e21086
 
8.5%
-19253
 
7.8%
s15672
 
6.3%
/15410
 
6.2%
t15128
 
6.1%
o13092
 
5.3%
w10444
 
4.2%
a10280
 
4.1%
i9682
 
3.9%
p8910
 
3.6%
Other values (30)108961
44.0%

name
Categorical

HIGH CARDINALITY

Distinct2109
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Episode 1
 
65
Episode 2
 
64
Episode 5
 
62
Episode 3
 
61
Episode 4
 
59
Other values (2104)
2771 

Length

Max length100
Median length95
Mean length18.34717716
Min length1

Characters and Unicode

Total characters56546
Distinct characters275
Distinct categories17 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1995 ?
Unique (%)64.7%

Sample

1st rowChanyeol's Episode 16
2nd rowСерия 2
3rd rowЛолита
4th rowEpisode 9
5th rowEpisode 80

Common Values

ValueCountFrequency (%)
Episode 165
 
2.1%
Episode 264
 
2.1%
Episode 562
 
2.0%
Episode 361
 
2.0%
Episode 459
 
1.9%
Episode 658
 
1.9%
Episode 745
 
1.5%
Episode 839
 
1.3%
Episode 1033
 
1.1%
Episode 933
 
1.1%
Other values (2099)2563
83.2%

Length

2022-09-17T22:00:29.785115image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
episode1034
 
10.2%
the332
 
3.3%
244
 
2.4%
1132
 
1.3%
2131
 
1.3%
of92
 
0.9%
389
 
0.9%
589
 
0.9%
486
 
0.8%
and81
 
0.8%
Other values (4001)7833
77.2%

Most occurring characters

ValueCountFrequency (%)
7062
 
12.5%
e4501
 
8.0%
o2996
 
5.3%
i2977
 
5.3%
s2476
 
4.4%
a2469
 
4.4%
r2063
 
3.6%
d1906
 
3.4%
n1770
 
3.1%
t1756
 
3.1%
Other values (265)26570
47.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter36434
64.4%
Uppercase Letter8231
 
14.6%
Space Separator7063
 
12.5%
Decimal Number3031
 
5.4%
Other Punctuation1148
 
2.0%
Other Letter250
 
0.4%
Dash Punctuation211
 
0.4%
Close Punctuation56
 
0.1%
Open Punctuation53
 
0.1%
Math Symbol39
 
0.1%
Other values (7)30
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e4501
 
12.4%
o2996
 
8.2%
i2977
 
8.2%
s2476
 
6.8%
a2469
 
6.8%
r2063
 
5.7%
d1906
 
5.2%
n1770
 
4.9%
t1756
 
4.8%
p1496
 
4.1%
Other values (83)12024
33.0%
Other Letter
ValueCountFrequency (%)
و20
 
8.0%
ا16
 
6.4%
13
 
5.2%
13
 
5.2%
م12
 
4.8%
ر8
 
3.2%
ل8
 
3.2%
7
 
2.8%
ب7
 
2.8%
7
 
2.8%
Other values (61)139
55.6%
Uppercase Letter
ValueCountFrequency (%)
E1345
 
16.3%
T605
 
7.4%
S513
 
6.2%
C380
 
4.6%
A347
 
4.2%
D342
 
4.2%
M330
 
4.0%
B324
 
3.9%
H324
 
3.9%
F303
 
3.7%
Other values (56)3418
41.5%
Other Punctuation
ValueCountFrequency (%)
,286
24.9%
:201
17.5%
.158
13.8%
'123
10.7%
#72
 
6.3%
&69
 
6.0%
/63
 
5.5%
?61
 
5.3%
"56
 
4.9%
!53
 
4.6%
Other values (3)6
 
0.5%
Decimal Number
ValueCountFrequency (%)
1692
22.8%
2637
21.0%
0342
11.3%
3291
9.6%
4237
 
7.8%
5202
 
6.7%
6193
 
6.4%
7152
 
5.0%
8143
 
4.7%
9142
 
4.7%
Currency Symbol
ValueCountFrequency (%)
3
37.5%
$3
37.5%
¥1
 
12.5%
£1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
-208
98.6%
2
 
0.9%
1
 
0.5%
Math Symbol
ValueCountFrequency (%)
|30
76.9%
~7
 
17.9%
×2
 
5.1%
Space Separator
ValueCountFrequency (%)
7062
> 99.9%
 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
)50
89.3%
]6
 
10.7%
Open Punctuation
ValueCountFrequency (%)
(47
88.7%
[6
 
11.3%
Initial Punctuation
ValueCountFrequency (%)
«8
100.0%
Final Punctuation
ValueCountFrequency (%)
»8
100.0%
Connector Punctuation
ValueCountFrequency (%)
_2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Modifier Symbol
ValueCountFrequency (%)
`1
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin38990
69.0%
Common11630
 
20.6%
Cyrillic5676
 
10.0%
Arabic128
 
0.2%
Hangul93
 
0.2%
Han29
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e4501
 
11.5%
o2996
 
7.7%
i2977
 
7.6%
s2476
 
6.4%
a2469
 
6.3%
r2063
 
5.3%
d1906
 
4.9%
n1770
 
4.5%
t1756
 
4.5%
p1496
 
3.8%
Other values (79)14580
37.4%
Cyrillic
ValueCountFrequency (%)
а457
 
8.1%
и412
 
7.3%
о398
 
7.0%
е392
 
6.9%
р335
 
5.9%
н280
 
4.9%
к221
 
3.9%
с219
 
3.9%
л203
 
3.6%
т187
 
3.3%
Other values (61)2572
45.3%
Common
ValueCountFrequency (%)
7062
60.7%
1692
 
6.0%
2637
 
5.5%
0342
 
2.9%
3291
 
2.5%
,286
 
2.5%
4237
 
2.0%
-208
 
1.8%
5202
 
1.7%
:201
 
1.7%
Other values (34)1472
 
12.7%
Hangul
ValueCountFrequency (%)
7
 
7.5%
7
 
7.5%
5
 
5.4%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
Other values (33)48
51.6%
Arabic
ValueCountFrequency (%)
و20
15.6%
ا16
12.5%
م12
 
9.4%
ر8
 
6.2%
ل8
 
6.2%
ب7
 
5.5%
د6
 
4.7%
ه6
 
4.7%
ن5
 
3.9%
ز5
 
3.9%
Other values (13)35
27.3%
Han
ValueCountFrequency (%)
13
44.8%
13
44.8%
1
 
3.4%
1
 
3.4%
1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII50381
89.1%
Cyrillic5676
 
10.0%
None228
 
0.4%
Arabic128
 
0.2%
Hangul93
 
0.2%
CJK29
 
0.1%
Punctuation5
 
< 0.1%
Currency Symbols3
 
< 0.1%
Letterlike Symbols2
 
< 0.1%
Number Forms1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7062
 
14.0%
e4501
 
8.9%
o2996
 
5.9%
i2977
 
5.9%
s2476
 
4.9%
a2469
 
4.9%
r2063
 
4.1%
d1906
 
3.8%
n1770
 
3.5%
t1756
 
3.5%
Other values (75)20405
40.5%
Cyrillic
ValueCountFrequency (%)
а457
 
8.1%
и412
 
7.3%
о398
 
7.0%
е392
 
6.9%
р335
 
5.9%
н280
 
4.9%
к221
 
3.9%
с219
 
3.9%
л203
 
3.6%
т187
 
3.3%
Other values (61)2572
45.3%
None
ValueCountFrequency (%)
ö28
12.3%
å25
 
11.0%
ø25
 
11.0%
ü17
 
7.5%
ó16
 
7.0%
é12
 
5.3%
í12
 
5.3%
á8
 
3.5%
ä8
 
3.5%
«8
 
3.5%
Other values (32)69
30.3%
Arabic
ValueCountFrequency (%)
و20
15.6%
ا16
12.5%
م12
 
9.4%
ر8
 
6.2%
ل8
 
6.2%
ب7
 
5.5%
د6
 
4.7%
ه6
 
4.7%
ن5
 
3.9%
ز5
 
3.9%
Other values (13)35
27.3%
CJK
ValueCountFrequency (%)
13
44.8%
13
44.8%
1
 
3.4%
1
 
3.4%
1
 
3.4%
Hangul
ValueCountFrequency (%)
7
 
7.5%
7
 
7.5%
5
 
5.4%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
4
 
4.3%
3
 
3.2%
3
 
3.2%
Other values (33)48
51.6%
Currency Symbols
ValueCountFrequency (%)
3
100.0%
Punctuation
ValueCountFrequency (%)
2
40.0%
2
40.0%
1
20.0%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Number Forms
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ≥0)

HIGH CORRELATION

Distinct27
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.1966256
Minimum1
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:29.999041image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile2020
Maximum2020
Range2019
Interquartile range (IQR)2

Descriptive statistics

Standard deviation523.8518794
Coefficient of variation (CV)3.511150989
Kurtosis8.851784367
Mean149.1966256
Median Absolute Deviation (MAD)0
Skewness3.293161443
Sum459824
Variance274420.7916
MonotonicityNot monotonic
2022-09-17T22:00:30.191853image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
11891
61.4%
2354
 
11.5%
2020224
 
7.3%
3171
 
5.5%
4156
 
5.1%
554
 
1.8%
741
 
1.3%
635
 
1.1%
1823
 
0.7%
923
 
0.7%
Other values (17)110
 
3.6%
ValueCountFrequency (%)
11891
61.4%
2354
 
11.5%
3171
 
5.5%
4156
 
5.1%
554
 
1.8%
635
 
1.1%
741
 
1.3%
819
 
0.6%
923
 
0.7%
1019
 
0.6%
ValueCountFrequency (%)
2020224
7.3%
542
 
0.1%
515
 
0.2%
484
 
0.1%
3119
 
0.6%
304
 
0.1%
274
 
0.1%
231
 
< 0.1%
196
 
0.2%
1823
 
0.7%

number
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct202
Distinct (%)6.7%
Missing81
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean23.43252249
Minimum1
Maximum358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:30.410043image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median8
Q320
95-th percentile81
Maximum358
Range357
Interquartile range (IQR)16

Descriptive statistics

Standard deviation51.46961105
Coefficient of variation (CV)2.196503218
Kurtosis24.81425805
Mean23.43252249
Median Absolute Deviation (MAD)5
Skewness4.831273612
Sum70321
Variance2649.120862
MonotonicityNot monotonic
2022-09-17T22:00:30.641301image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3224
 
7.3%
2222
 
7.2%
1221
 
7.2%
4210
 
6.8%
5194
 
6.3%
6186
 
6.0%
7154
 
5.0%
8148
 
4.8%
10105
 
3.4%
999
 
3.2%
Other values (192)1238
40.2%
(Missing)81
 
2.6%
ValueCountFrequency (%)
1221
7.2%
2222
7.2%
3224
7.3%
4210
6.8%
5194
6.3%
6186
6.0%
7154
5.0%
8148
4.8%
999
3.2%
10105
3.4%
ValueCountFrequency (%)
3581
< 0.1%
3571
< 0.1%
3561
< 0.1%
3551
< 0.1%
3541
< 0.1%
3531
< 0.1%
3521
< 0.1%
3511
< 0.1%
3501
< 0.1%
3491
< 0.1%

type
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
regular
3001 
significant_special
 
45
insignificant_special
 
36

Length

Max length21
Median length7
Mean length7.338741077
Min length7

Characters and Unicode

Total characters22618
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular3001
97.4%
significant_special45
 
1.5%
insignificant_special36
 
1.2%

Length

2022-09-17T22:00:30.861780image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-17T22:00:31.043236image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
regular3001
97.4%
significant_special45
 
1.5%
insignificant_special36
 
1.2%

Most occurring characters

ValueCountFrequency (%)
r6002
26.5%
a3163
14.0%
e3082
13.6%
g3082
13.6%
l3082
13.6%
u3001
13.3%
i360
 
1.6%
n198
 
0.9%
s162
 
0.7%
c162
 
0.7%
Other values (4)324
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter22537
99.6%
Connector Punctuation81
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r6002
26.6%
a3163
14.0%
e3082
13.7%
g3082
13.7%
l3082
13.7%
u3001
13.3%
i360
 
1.6%
n198
 
0.9%
s162
 
0.7%
c162
 
0.7%
Other values (3)243
 
1.1%
Connector Punctuation
ValueCountFrequency (%)
_81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin22537
99.6%
Common81
 
0.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
r6002
26.6%
a3163
14.0%
e3082
13.7%
g3082
13.7%
l3082
13.7%
u3001
13.3%
i360
 
1.6%
n198
 
0.9%
s162
 
0.7%
c162
 
0.7%
Other values (3)243
 
1.1%
Common
ValueCountFrequency (%)
_81
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII22618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r6002
26.5%
a3163
14.0%
e3082
13.6%
g3082
13.6%
l3082
13.6%
u3001
13.3%
i360
 
1.6%
n198
 
0.9%
s162
 
0.7%
c162
 
0.7%
Other values (4)324
 
1.4%

airdate
Date

HIGH CORRELATION

Distinct31
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Minimum2020-12-01 00:00:00
Maximum2020-12-31 00:00:00
2022-09-17T22:00:31.209449image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:31.421525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

airtime
Date

HIGH CORRELATION
MISSING

Distinct60
Distinct (%)6.5%
Missing2159
Missing (%)70.1%
Memory size24.2 KiB
Minimum2022-09-17 00:00:00
Maximum2022-09-17 23:00:00
2022-09-17T22:00:31.633402image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:31.859762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct536
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
Minimum2020-11-30 21:00:00
Maximum2021-01-01 02:00:00
2022-09-17T22:00:32.076589image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:32.326699image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

runtime
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct112
Distinct (%)3.9%
Missing228
Missing (%)7.4%
Infinite0
Infinite (%)0.0%
Mean37.54344779
Minimum1
Maximum335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:32.568567image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q119
median31
Q345
95-th percentile90
Maximum335
Range334
Interquartile range (IQR)26

Descriptive statistics

Standard deviation30.04648876
Coefficient of variation (CV)0.8003124521
Kurtosis18.31939241
Mean37.54344779
Median Absolute Deviation (MAD)14
Skewness3.172720249
Sum107149
Variance902.791487
MonotonicityNot monotonic
2022-09-17T22:00:32.813872image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45500
 
16.2%
30183
 
5.9%
20141
 
4.6%
60140
 
4.5%
1297
 
3.1%
1590
 
2.9%
2582
 
2.7%
12081
 
2.6%
2372
 
2.3%
562
 
2.0%
Other values (102)1406
45.6%
(Missing)228
 
7.4%
ValueCountFrequency (%)
15
 
0.2%
210
 
0.3%
34
 
0.1%
426
0.8%
562
2.0%
619
 
0.6%
752
1.7%
852
1.7%
918
 
0.6%
1050
1.6%
ValueCountFrequency (%)
3351
 
< 0.1%
3004
0.1%
2931
 
< 0.1%
2403
 
0.1%
2131
 
< 0.1%
2081
 
< 0.1%
1961
 
< 0.1%
1881
 
< 0.1%
1841
 
< 0.1%
1808
0.3%

image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3082
Missing (%)100.0%
Memory size24.2 KiB

summary
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct880
Distinct (%)99.5%
Missing2198
Missing (%)71.3%
Memory size24.2 KiB
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>
 
3
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>
 
2
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>
 
2
<p>To protect his rich and strategic lands in France, the English king, Richard the Lionheart, decided to build an impregnable castle to bar the route along the Seine, thus asserting his supremacy in Normandy. Four years later, France's King Philip besieged the site at the head of an army of 6,000 men.</p>
 
1
<p>Bacon-wrapped brats and blueberry cobbler get a second look as late-night snacks, and duck confit and cassoulet evolve into entirely different dishes.</p><p><br /> </p>
 
1
Other values (875)
875 

Length

Max length1080
Median length417
Mean length198.1459276
Min length18

Characters and Unicode

Total characters175161
Distinct characters135
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique877 ?
Unique (%)99.2%

Sample

1st row<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>
2nd row<p>This Giving Tuesday, the crew heads to Mike's hometown of Baltimore, MD to give back to Dawod Thomas. Honoring the legacy of his dad, Dawod created My Fathers Plan, a youth-focused community cleanup program dedicated to cultivating change in the inner-city through community activism, tutoring and mentoring.</p>
3rd row<p>Timothy Omundson (Psych) joins me this week and pours it all out about his heartbreaking experience with the freak accident stroke he suffered during the zenith of his career and the best shape of his life.</p>
4th row<p>Genetically-engineered corn, corn silage, and sweet corn.</p>
5th row<p>Jen practices magical spells with Vee.  When Jen, Vee, Dong, and Jay fall asleep watching a movie, Vee has no choice but to sleep over at Jen's house.  </p>

Common Values

ValueCountFrequency (%)
<p>On a journey to find love, Chance invites 15 beautiful "ladies" into his home. Each week he will put the hopefuls through various challenges to test their compatibility among other things. However, with constant infighting between the contestants, will Chance be able to finally find his happily ever after?</p>3
 
0.1%
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>2
 
0.1%
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>2
 
0.1%
<p>To protect his rich and strategic lands in France, the English king, Richard the Lionheart, decided to build an impregnable castle to bar the route along the Seine, thus asserting his supremacy in Normandy. Four years later, France's King Philip besieged the site at the head of an army of 6,000 men.</p>1
 
< 0.1%
<p>Bacon-wrapped brats and blueberry cobbler get a second look as late-night snacks, and duck confit and cassoulet evolve into entirely different dishes.</p><p><br /> </p>1
 
< 0.1%
<p>Katya's ready for love, and she wants to do it now. Trixie explains to her what love is, and Katya designs her perfect man.</p>1
 
< 0.1%
<p>Justin speaks to the significance of intertwining surprising elements throughout the film to create and maintain not only the sincerity of the set but also the emotional resonance through the entirety of production. From Zach's director's chair to wardrobe and set dressing, it starts to become quite clear -- Zach is here every step of the way.</p><p> </p><p> </p>1
 
< 0.1%
<p>It's the mid-11th Century. Ruy is a young man who has just been named squire to Prince Sancho, King Fernando of León's eldest son. One night he discovers that someone he loves is involved in a conspiracy to overthrow the King. From then on, Ruy is caught between his loyalty to duty and to his heart.</p>1
 
< 0.1%
<p>A conflicted Lunt is forced to make a choice with potentially deadly consequences.</p>1
 
< 0.1%
<p>The fallout from the Worths' visit continues and Jack takes solace in an unexpected place.</p>1
 
< 0.1%
Other values (870)870
 
28.2%
(Missing)2198
71.3%

Length

2022-09-17T22:00:33.074071image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the1604
 
5.6%
to1009
 
3.5%
and928
 
3.2%
a798
 
2.8%
of584
 
2.0%
in378
 
1.3%
with319
 
1.1%
her292
 
1.0%
for260
 
0.9%
is248
 
0.9%
Other values (7521)22300
77.6%

Most occurring characters

ValueCountFrequency (%)
27588
15.8%
e16182
 
9.2%
t11250
 
6.4%
a11120
 
6.3%
i9442
 
5.4%
o9398
 
5.4%
n9242
 
5.3%
s9054
 
5.2%
r8399
 
4.8%
h6981
 
4.0%
Other values (125)56505
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter130211
74.3%
Space Separator27874
 
15.9%
Uppercase Letter6234
 
3.6%
Other Punctuation5441
 
3.1%
Math Symbol4620
 
2.6%
Decimal Number341
 
0.2%
Dash Punctuation330
 
0.2%
Close Punctuation48
 
< 0.1%
Open Punctuation48
 
< 0.1%
Currency Symbol5
 
< 0.1%
Other values (3)9
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e16182
12.4%
t11250
 
8.6%
a11120
 
8.5%
i9442
 
7.3%
o9398
 
7.2%
n9242
 
7.1%
s9054
 
7.0%
r8399
 
6.5%
h6981
 
5.4%
l5118
 
3.9%
Other values (51)34025
26.1%
Uppercase Letter
ValueCountFrequency (%)
T568
 
9.1%
A550
 
8.8%
S517
 
8.3%
M425
 
6.8%
C421
 
6.8%
R334
 
5.4%
B314
 
5.0%
J265
 
4.3%
W262
 
4.2%
F243
 
3.9%
Other values (22)2335
37.5%
Other Punctuation
ValueCountFrequency (%)
.1682
30.9%
,1411
25.9%
/1253
23.0%
'682
12.5%
"107
 
2.0%
?88
 
1.6%
!75
 
1.4%
:41
 
0.8%
;36
 
0.7%
#27
 
0.5%
Other values (5)39
 
0.7%
Decimal Number
ValueCountFrequency (%)
087
25.5%
172
21.1%
260
17.6%
934
 
10.0%
730
 
8.8%
517
 
5.0%
414
 
4.1%
812
 
3.5%
39
 
2.6%
66
 
1.8%
Math Symbol
ValueCountFrequency (%)
<2309
50.0%
>2309
50.0%
+2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
-286
86.7%
39
 
11.8%
5
 
1.5%
Space Separator
ValueCountFrequency (%)
27588
99.0%
 286
 
1.0%
Currency Symbol
ValueCountFrequency (%)
£3
60.0%
$2
40.0%
Other Letter
ValueCountFrequency (%)
2
66.7%
1
33.3%
Other Symbol
ValueCountFrequency (%)
1
50.0%
1
50.0%
Close Punctuation
ValueCountFrequency (%)
)48
100.0%
Open Punctuation
ValueCountFrequency (%)
(48
100.0%
Initial Punctuation
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin136346
77.8%
Common38713
 
22.1%
Cyrillic99
 
0.1%
Hangul3
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e16182
11.9%
t11250
 
8.3%
a11120
 
8.2%
i9442
 
6.9%
o9398
 
6.9%
n9242
 
6.8%
s9054
 
6.6%
r8399
 
6.2%
h6981
 
5.1%
l5118
 
3.8%
Other values (55)40160
29.5%
Common
ValueCountFrequency (%)
27588
71.3%
<2309
 
6.0%
>2309
 
6.0%
.1682
 
4.3%
,1411
 
3.6%
/1253
 
3.2%
'682
 
1.8%
-286
 
0.7%
 286
 
0.7%
"107
 
0.3%
Other values (30)800
 
2.1%
Cyrillic
ValueCountFrequency (%)
о11
 
11.1%
а10
 
10.1%
е8
 
8.1%
р7
 
7.1%
и7
 
7.1%
в6
 
6.1%
м5
 
5.1%
т5
 
5.1%
к4
 
4.0%
л4
 
4.0%
Other values (18)32
32.3%
Hangul
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII174662
99.7%
None335
 
0.2%
Cyrillic99
 
0.1%
Punctuation60
 
< 0.1%
Compat Jamo3
 
< 0.1%
Misc Symbols2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27588
15.8%
e16182
 
9.3%
t11250
 
6.4%
a11120
 
6.4%
i9442
 
5.4%
o9398
 
5.4%
n9242
 
5.3%
s9054
 
5.2%
r8399
 
4.8%
h6981
 
4.0%
Other values (74)56006
32.1%
None
ValueCountFrequency (%)
 286
85.4%
é14
 
4.2%
í7
 
2.1%
ó6
 
1.8%
ä3
 
0.9%
è3
 
0.9%
£3
 
0.9%
ö3
 
0.9%
ê2
 
0.6%
å2
 
0.6%
Other values (5)6
 
1.8%
Punctuation
ValueCountFrequency (%)
39
65.0%
12
 
20.0%
5
 
8.3%
4
 
6.7%
Cyrillic
ValueCountFrequency (%)
о11
 
11.1%
а10
 
10.1%
е8
 
8.1%
р7
 
7.1%
и7
 
7.1%
в6
 
6.1%
м5
 
5.1%
т5
 
5.1%
к4
 
4.0%
л4
 
4.0%
Other values (18)32
32.3%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
Misc Symbols
ValueCountFrequency (%)
1
50.0%
1
50.0%

rating.average
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct37
Distinct (%)12.5%
Missing2786
Missing (%)90.4%
Infinite0
Infinite (%)0.0%
Mean7.97027027
Minimum3.7
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:33.308556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile6.45
Q17.3
median8
Q38.8
95-th percentile9.5
Maximum10
Range6.3
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.036353415
Coefficient of variation (CV)0.1300273868
Kurtosis0.6380414308
Mean7.97027027
Median Absolute Deviation (MAD)0.7
Skewness-0.2829406244
Sum2359.2
Variance1.074028401
MonotonicityNot monotonic
2022-09-17T22:00:33.513621image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
832
 
1.0%
727
 
0.9%
7.723
 
0.7%
920
 
0.6%
7.319
 
0.6%
9.517
 
0.6%
7.513
 
0.4%
1011
 
0.4%
8.511
 
0.4%
7.811
 
0.4%
Other values (27)112
 
3.6%
(Missing)2786
90.4%
ValueCountFrequency (%)
3.71
 
< 0.1%
4.51
 
< 0.1%
51
 
< 0.1%
5.52
 
0.1%
66
0.2%
6.12
 
0.1%
6.32
 
0.1%
6.57
0.2%
6.61
 
< 0.1%
6.76
0.2%
ValueCountFrequency (%)
1011
0.4%
9.73
 
0.1%
9.517
0.6%
9.41
 
< 0.1%
9.36
 
0.2%
9.25
 
0.2%
920
0.6%
8.97
 
0.2%
8.86
 
0.2%
8.73
 
0.1%

_links.self.href
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct3082
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
https://api.tvmaze.com/episodes/1998593
 
1
https://api.tvmaze.com/episodes/2074186
 
1
https://api.tvmaze.com/episodes/1993811
 
1
https://api.tvmaze.com/episodes/1981558
 
1
https://api.tvmaze.com/episodes/2182117
 
1
Other values (3077)
3077 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters120198
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3082 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1979824
2nd rowhttps://api.tvmaze.com/episodes/1979222
3rd rowhttps://api.tvmaze.com/episodes/2008027
4th rowhttps://api.tvmaze.com/episodes/1964565
5th rowhttps://api.tvmaze.com/episodes/2052503

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19985931
 
< 0.1%
https://api.tvmaze.com/episodes/20741861
 
< 0.1%
https://api.tvmaze.com/episodes/19938111
 
< 0.1%
https://api.tvmaze.com/episodes/19815581
 
< 0.1%
https://api.tvmaze.com/episodes/21821171
 
< 0.1%
https://api.tvmaze.com/episodes/22649381
 
< 0.1%
https://api.tvmaze.com/episodes/21539181
 
< 0.1%
https://api.tvmaze.com/episodes/22287091
 
< 0.1%
https://api.tvmaze.com/episodes/21761471
 
< 0.1%
https://api.tvmaze.com/episodes/20016691
 
< 0.1%
Other values (3072)3072
99.7%

Length

2022-09-17T22:00:33.704434image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/19985931
 
< 0.1%
https://api.tvmaze.com/episodes/23035391
 
< 0.1%
https://api.tvmaze.com/episodes/22111361
 
< 0.1%
https://api.tvmaze.com/episodes/19773231
 
< 0.1%
https://api.tvmaze.com/episodes/19907131
 
< 0.1%
https://api.tvmaze.com/episodes/19880011
 
< 0.1%
https://api.tvmaze.com/episodes/19760361
 
< 0.1%
https://api.tvmaze.com/episodes/19747991
 
< 0.1%
https://api.tvmaze.com/episodes/19829081
 
< 0.1%
https://api.tvmaze.com/episodes/19727821
 
< 0.1%
Other values (3072)3072
99.7%

Most occurring characters

ValueCountFrequency (%)
/12328
 
10.3%
p9246
 
7.7%
s9246
 
7.7%
e9246
 
7.7%
t9246
 
7.7%
o6164
 
5.1%
a6164
 
5.1%
i6164
 
5.1%
.6164
 
5.1%
m6164
 
5.1%
Other values (16)40066
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter77050
64.1%
Other Punctuation21574
 
17.9%
Decimal Number21574
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p9246
12.0%
s9246
12.0%
e9246
12.0%
t9246
12.0%
o6164
8.0%
a6164
8.0%
i6164
8.0%
m6164
8.0%
h3082
 
4.0%
d3082
 
4.0%
Other values (3)9246
12.0%
Decimal Number
ValueCountFrequency (%)
93764
17.4%
13581
16.6%
22517
11.7%
02034
9.4%
81975
9.2%
71900
8.8%
61498
 
6.9%
31492
 
6.9%
51466
 
6.8%
41347
 
6.2%
Other Punctuation
ValueCountFrequency (%)
/12328
57.1%
.6164
28.6%
:3082
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin77050
64.1%
Common43148
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/12328
28.6%
.6164
14.3%
93764
 
8.7%
13581
 
8.3%
:3082
 
7.1%
22517
 
5.8%
02034
 
4.7%
81975
 
4.6%
71900
 
4.4%
61498
 
3.5%
Other values (3)4305
 
10.0%
Latin
ValueCountFrequency (%)
p9246
12.0%
s9246
12.0%
e9246
12.0%
t9246
12.0%
o6164
8.0%
a6164
8.0%
i6164
8.0%
m6164
8.0%
h3082
 
4.0%
d3082
 
4.0%
Other values (3)9246
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII120198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/12328
 
10.3%
p9246
 
7.7%
s9246
 
7.7%
e9246
 
7.7%
t9246
 
7.7%
o6164
 
5.1%
a6164
 
5.1%
i6164
 
5.1%
.6164
 
5.1%
m6164
 
5.1%
Other values (16)40066
33.3%

_embedded.show.dvdCountry
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3082
Missing (%)100.0%
Memory size24.2 KiB

_embedded.show.externals.tvrage
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct11
Distinct (%)19.3%
Missing3025
Missing (%)98.2%
Infinite0
Infinite (%)0.0%
Mean23860.26316
Minimum5152
Maximum47170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:33.872032image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum5152
5-th percentile5152
Q119056
median19056
Q334149
95-th percentile41967
Maximum47170
Range42018
Interquartile range (IQR)15093

Descriptive statistics

Standard deviation11571.50109
Coefficient of variation (CV)0.4849695502
Kurtosis-0.6702313355
Mean23860.26316
Median Absolute Deviation (MAD)11226
Skewness0.1352026074
Sum1360035
Variance133899637.5
MonotonicityNot monotonic
2022-09-17T22:00:34.045183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1905619
 
0.6%
341498
 
0.3%
251006
 
0.2%
419675
 
0.2%
51525
 
0.2%
66594
 
0.1%
302824
 
0.1%
150902
 
0.1%
471702
 
0.1%
382921
 
< 0.1%
(Missing)3025
98.2%
ValueCountFrequency (%)
51525
 
0.2%
66594
 
0.1%
150902
 
0.1%
1905619
0.6%
251006
 
0.2%
280081
 
< 0.1%
302824
 
0.1%
341498
0.3%
382921
 
< 0.1%
419675
 
0.2%
ValueCountFrequency (%)
471702
 
0.1%
419675
 
0.2%
382921
 
< 0.1%
341498
0.3%
302824
 
0.1%
280081
 
< 0.1%
251006
 
0.2%
1905619
0.6%
150902
 
0.1%
66594
 
0.1%

_embedded.show.externals.thetvdb
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct440
Distinct (%)20.3%
Missing916
Missing (%)29.7%
Infinite0
Infinite (%)0.0%
Mean359326.4598
Minimum73246
Maximum424733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:34.253944image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum73246
5-th percentile265193
Q1345280
median382296
Q3392410
95-th percentile394627
Maximum424733
Range351487
Interquartile range (IQR)47130

Descriptive statistics

Standard deviation55819.43019
Coefficient of variation (CV)0.155344614
Kurtosis9.730514498
Mean359326.4598
Median Absolute Deviation (MAD)11561
Skewness-2.820957348
Sum778301112
Variance3115808786
MonotonicityNot monotonic
2022-09-17T22:00:34.481298image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27879338
 
1.2%
26519331
 
1.0%
39221429
 
0.9%
39267928
 
0.9%
39322926
 
0.8%
33109526
 
0.8%
39338124
 
0.8%
39264924
 
0.8%
39724724
 
0.8%
36979822
 
0.7%
Other values (430)1894
61.5%
(Missing)916
29.7%
ValueCountFrequency (%)
732464
 
0.1%
767794
 
0.1%
784195
 
0.2%
788964
 
0.1%
794291
 
< 0.1%
854366
 
0.2%
10427119
0.6%
1445416
 
0.2%
1449914
 
0.1%
1454311
 
< 0.1%
ValueCountFrequency (%)
4247331
 
< 0.1%
4190452
 
0.1%
4136274
0.1%
4127371
 
< 0.1%
4119233
0.1%
4101876
0.2%
4100863
0.1%
4089565
0.2%
4087602
 
0.1%
4080343
0.1%

_embedded.show.externals.imdb
Categorical

HIGH CARDINALITY
MISSING

Distinct309
Distinct (%)19.2%
Missing1471
Missing (%)47.7%
Memory size24.2 KiB
tt1714810
 
38
tt13599000
 
30
tt13568876
 
28
tt8871128
 
26
tt11492320
 
24
Other values (304)
1465 

Length

Max length10
Median length10
Mean length9.631284916
Min length9

Characters and Unicode

Total characters15516
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)3.4%

Sample

1st rowtt15127174
2nd rowtt11492320
3rd rowtt13570512
4th rowtt13570512
5th rowtt13570512

Common Values

ValueCountFrequency (%)
tt171481038
 
1.2%
tt1359900030
 
1.0%
tt1356887628
 
0.9%
tt887112826
 
0.8%
tt1149232024
 
0.8%
tt1359898824
 
0.8%
tt1245794622
 
0.7%
tt1353971020
 
0.6%
tt1193955020
 
0.6%
tt408703219
 
0.6%
Other values (299)1360
44.1%
(Missing)1471
47.7%

Length

2022-09-17T22:00:34.696995image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
tt171481038
 
2.4%
tt1359900030
 
1.9%
tt1356887628
 
1.7%
tt887112826
 
1.6%
tt1149232024
 
1.5%
tt1359898824
 
1.5%
tt1245794622
 
1.4%
tt1353971020
 
1.2%
tt1193955020
 
1.2%
tt408703219
 
1.2%
Other values (299)1360
84.4%

Most occurring characters

ValueCountFrequency (%)
t3222
20.8%
12065
13.3%
01422
9.2%
21313
8.5%
31250
 
8.1%
61218
 
7.8%
81206
 
7.8%
41034
 
6.7%
9959
 
6.2%
5930
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number12294
79.2%
Lowercase Letter3222
 
20.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
12065
16.8%
01422
11.6%
21313
10.7%
31250
10.2%
61218
9.9%
81206
9.8%
41034
8.4%
9959
7.8%
5930
7.6%
7897
7.3%
Lowercase Letter
ValueCountFrequency (%)
t3222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common12294
79.2%
Latin3222
 
20.8%

Most frequent character per script

Common
ValueCountFrequency (%)
12065
16.8%
01422
11.6%
21313
10.7%
31250
10.2%
61218
9.9%
81206
9.8%
41034
8.4%
9959
7.8%
5930
7.6%
7897
7.3%
Latin
ValueCountFrequency (%)
t3222
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII15516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t3222
20.8%
12065
13.3%
01422
9.2%
21313
8.5%
31250
 
8.1%
61218
 
7.8%
81206
 
7.8%
41034
 
6.7%
9959
 
6.2%
5930
 
6.0%

_embedded.show.image.medium
Categorical

HIGH CARDINALITY
MISSING

Distinct585
Distinct (%)20.0%
Missing155
Missing (%)5.0%
Memory size24.2 KiB
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg
 
38
https://static.tvmaze.com/uploads/images/medium_portrait/317/794301.jpg
 
32
https://static.tvmaze.com/uploads/images/medium_portrait/121/302950.jpg
 
31
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg
 
30
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg
 
29
Other values (580)
2767 

Length

Max length72
Median length71
Mean length71.02903997
Min length69

Characters and Unicode

Total characters207902
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)3.8%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_portrait/190/476668.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/355/888089.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_portrait/379/948045.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/278/696645.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_portrait/299/748854.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg38
 
1.2%
https://static.tvmaze.com/uploads/images/medium_portrait/317/794301.jpg32
 
1.0%
https://static.tvmaze.com/uploads/images/medium_portrait/121/302950.jpg31
 
1.0%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg30
 
1.0%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg29
 
0.9%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg28
 
0.9%
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg26
 
0.8%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg26
 
0.8%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg24
 
0.8%
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg24
 
0.8%
Other values (575)2639
85.6%
(Missing)155
 
5.0%

Length

2022-09-17T22:00:34.865289image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_portrait/51/129595.jpg38
 
1.3%
https://static.tvmaze.com/uploads/images/medium_portrait/317/794301.jpg32
 
1.1%
https://static.tvmaze.com/uploads/images/medium_portrait/121/302950.jpg31
 
1.1%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729147.jpg30
 
1.0%
https://static.tvmaze.com/uploads/images/medium_portrait/285/713040.jpg29
 
1.0%
https://static.tvmaze.com/uploads/images/medium_portrait/288/721821.jpg28
 
1.0%
https://static.tvmaze.com/uploads/images/medium_portrait/255/639532.jpg26
 
0.9%
https://static.tvmaze.com/uploads/images/medium_portrait/291/729820.jpg26
 
0.9%
https://static.tvmaze.com/uploads/images/medium_portrait/289/723488.jpg24
 
0.8%
https://static.tvmaze.com/uploads/images/medium_portrait/290/727385.jpg24
 
0.8%
Other values (575)2639
90.2%

Most occurring characters

ValueCountFrequency (%)
/20489
 
9.9%
t20489
 
9.9%
a14635
 
7.0%
m14635
 
7.0%
p11708
 
5.6%
s11708
 
5.6%
i11708
 
5.6%
.8781
 
4.2%
e8781
 
4.2%
o8781
 
4.2%
Other values (22)76187
36.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter146350
70.4%
Other Punctuation32197
 
15.5%
Decimal Number26428
 
12.7%
Connector Punctuation2927
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t20489
14.0%
a14635
10.0%
m14635
10.0%
p11708
 
8.0%
s11708
 
8.0%
i11708
 
8.0%
e8781
 
6.0%
o8781
 
6.0%
d5854
 
4.0%
u5854
 
4.0%
Other values (8)32197
22.0%
Decimal Number
ValueCountFrequency (%)
23780
14.3%
73263
12.3%
82899
11.0%
12846
10.8%
92656
10.0%
32554
9.7%
02236
8.5%
52159
8.2%
42158
8.2%
61877
7.1%
Other Punctuation
ValueCountFrequency (%)
/20489
63.6%
.8781
27.3%
:2927
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_2927
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin146350
70.4%
Common61552
29.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
t20489
14.0%
a14635
10.0%
m14635
10.0%
p11708
 
8.0%
s11708
 
8.0%
i11708
 
8.0%
e8781
 
6.0%
o8781
 
6.0%
d5854
 
4.0%
u5854
 
4.0%
Other values (8)32197
22.0%
Common
ValueCountFrequency (%)
/20489
33.3%
.8781
14.3%
23780
 
6.1%
73263
 
5.3%
_2927
 
4.8%
:2927
 
4.8%
82899
 
4.7%
12846
 
4.6%
92656
 
4.3%
32554
 
4.1%
Other values (4)8430
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII207902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/20489
 
9.9%
t20489
 
9.9%
a14635
 
7.0%
m14635
 
7.0%
p11708
 
5.6%
s11708
 
5.6%
i11708
 
5.6%
.8781
 
4.2%
e8781
 
4.2%
o8781
 
4.2%
Other values (22)76187
36.6%

_embedded.show.image.original
Categorical

HIGH CARDINALITY
MISSING

Distinct585
Distinct (%)20.0%
Missing155
Missing (%)5.0%
Memory size24.2 KiB
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg
 
38
https://static.tvmaze.com/uploads/images/original_untouched/317/794301.jpg
 
32
https://static.tvmaze.com/uploads/images/original_untouched/121/302950.jpg
 
31
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg
 
30
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg
 
29
Other values (580)
2767 

Length

Max length75
Median length74
Mean length74.02903997
Min length72

Characters and Unicode

Total characters216683
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)3.8%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/190/476668.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/355/888089.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/379/948045.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/278/696645.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/299/748854.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg38
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/317/794301.jpg32
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/121/302950.jpg31
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg30
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg29
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg28
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg26
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg26
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg24
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/308/770106.jpg24
 
0.8%
Other values (575)2639
85.6%
(Missing)155
 
5.0%

Length

2022-09-17T22:00:35.055089image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/51/129595.jpg38
 
1.3%
https://static.tvmaze.com/uploads/images/original_untouched/317/794301.jpg32
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/121/302950.jpg31
 
1.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/729147.jpg30
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/285/713040.jpg29
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/288/721821.jpg28
 
1.0%
https://static.tvmaze.com/uploads/images/original_untouched/255/639532.jpg26
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/291/729820.jpg26
 
0.9%
https://static.tvmaze.com/uploads/images/original_untouched/290/727385.jpg24
 
0.8%
https://static.tvmaze.com/uploads/images/original_untouched/308/770106.jpg24
 
0.8%
Other values (575)2639
90.2%

Most occurring characters

ValueCountFrequency (%)
/20489
 
9.5%
t17562
 
8.1%
a14635
 
6.8%
s11708
 
5.4%
i11708
 
5.4%
o11708
 
5.4%
p8781
 
4.1%
c8781
 
4.1%
.8781
 
4.1%
g8781
 
4.1%
Other values (23)93749
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter155131
71.6%
Other Punctuation32197
 
14.9%
Decimal Number26428
 
12.2%
Connector Punctuation2927
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t17562
 
11.3%
a14635
 
9.4%
s11708
 
7.5%
i11708
 
7.5%
o11708
 
7.5%
p8781
 
5.7%
c8781
 
5.7%
g8781
 
5.7%
m8781
 
5.7%
e8781
 
5.7%
Other values (9)43905
28.3%
Decimal Number
ValueCountFrequency (%)
23780
14.3%
73263
12.3%
82899
11.0%
12846
10.8%
92656
10.0%
32554
9.7%
02236
8.5%
52159
8.2%
42158
8.2%
61877
7.1%
Other Punctuation
ValueCountFrequency (%)
/20489
63.6%
.8781
27.3%
:2927
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_2927
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin155131
71.6%
Common61552
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t17562
 
11.3%
a14635
 
9.4%
s11708
 
7.5%
i11708
 
7.5%
o11708
 
7.5%
p8781
 
5.7%
c8781
 
5.7%
g8781
 
5.7%
m8781
 
5.7%
e8781
 
5.7%
Other values (9)43905
28.3%
Common
ValueCountFrequency (%)
/20489
33.3%
.8781
14.3%
23780
 
6.1%
73263
 
5.3%
:2927
 
4.8%
_2927
 
4.8%
82899
 
4.7%
12846
 
4.6%
92656
 
4.3%
32554
 
4.1%
Other values (4)8430
13.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII216683
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/20489
 
9.5%
t17562
 
8.1%
a14635
 
6.8%
s11708
 
5.4%
i11708
 
5.4%
o11708
 
5.4%
p8781
 
4.1%
c8781
 
4.1%
.8781
 
4.1%
g8781
 
4.1%
Other values (23)93749
43.3%

_embedded.show.summary
Categorical

HIGH CARDINALITY
MISSING

Distinct556
Distinct (%)20.1%
Missing313
Missing (%)10.2%
Memory size24.2 KiB
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>
 
38
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>
 
32
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>
 
31
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>
 
30
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>
 
29
Other values (551)
2609 

Length

Max length1620
Median length586
Mean length365.9180209
Min length36

Characters and Unicode

Total characters1013227
Distinct characters177
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)3.6%

Sample

1st row<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>
2nd row<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>
3rd row<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>
4th row<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>
5th row<p>It's spin-off drama of <b>"Kono Koi Atatamemasu ka"</b></p>

Common Values

ValueCountFrequency (%)
<p>A daring, funny, and brutally honest show that covers politics, entertainment, movies, sports, and pop culture.</p>38
 
1.2%
<p>Relive some of the memorable moments our couples have faced on their journeys so far. From whopping age gaps to complex language barriers, explore their ups and downs as they prepared to embark on their new lives together.</p>32
 
1.0%
<p><b>SciShow</b> explores the unexpected. Seven days a week, Hank Green, Michael Aranda, and Olivia Gordon delve into the scientific subjects that defy our expectations and make us even more curious!</p><p>Schedule:</p><p>Sundays — Learn about the amazing topics we can't quite make a stand-alone show about in SciShow List Show!</p><p>Mondays — Tune in for a short Dose about our weird world.</p><p>Tuesdays — Find answers to our most asked Quick Questions.</p><p>Wednesdays — Hank or Michael dives deep into a long-form Infusion episode, or an unscripted talk show or quiz show with a guest!</p><p>Thursday — Another new dose about the wonders of the world.</p><p>Fridays — Learn the latest in science News.</p><p>Saturdays — Get your quick questions answered!</p>31
 
1.0%
<p>A story that follows undercover cop Gan Tian Lei who spent 10 years of his life walking a gray area. After waking up from a serious injury, he restarts his life and tries to solve a case by relying on his lost memories.</p>30
 
1.0%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>29
 
0.9%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>28
 
0.9%
<p>The story happens at the end of the Tang Dynasty, when Zhu Wen usurps the throne and establishes the Later Liang Dynasty, and he's known as Emperor Taizu. Ma Zhai Xing (Li Qin) is the daughter of an official and as a child, she befriends a young boy (Darren Wang) who lives in the mountain. One day when he saves a wolf, he accidentally falls over the cliff and is rescued by Zhu Wen. The authoritative figure adopts him as a godson and gives him the title Bo Wang. Ten years later, he saves the female lead per chance and finds her courage and intelligence resonant, and she likes that while he's in a position of power, he still has humility and kindness. She encourages him to fight for justice and he begins that journey by helping the people, stopping throne fights, etc. Even when they have conflicts, they will face those frankly. As they overcome obstacles and fight for justice, feelings deepen and they are able to reap their own happiness by each other's side.</p>26
 
0.8%
<p>Curious about his uncle's past, Wu Xie watched a mysterious videotape, only to find himself mixed up in an elaborate conspiracy. In his adventures, he encountered Zhang Qi Ling, Xie Yu Chen, and others. </p>26
 
0.8%
<p>The play consists of three youth stories. "He and Meow": The cat Jiang Xiao Kui and his owner Jiang Qing from the cat kingdom live a happy life. Until Jiang Qing's younger brother Jiang Xia returned home. Xia, who was allergic to cats, and Jiang Xiao Kui, who hated his younger brother, started a battle over sister's favor. "Full-time rival": Xu Tian Yi and Li Shi Lin, who had been at odds for a long time, reunited during the summer sprint training. In the process of competing against each other, their misunderstanding was resolved. Just when the two worked together to enter the team, an accident happened. "The Man in the Story": Yu Sheng, a young man, accidentally discovered that he turned out to be a character in Xu Mo's novel. After learning about the tragic ending of himself and his sister, he came to the real world to fight with the writer in an attempt to change his destiny.</p><p><br /> </p>24
 
0.8%
<p>The parents get divorced and Jo has to move to a new place. One day, Nordstjerna goes out, and Jo discovers that a girl with magical powers lives in the attic.</p>24
 
0.8%
Other values (546)2481
80.5%
(Missing)313
 
10.2%

Length

2022-09-17T22:00:35.289987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
the9624
 
5.7%
and6052
 
3.6%
a5087
 
3.0%
of4880
 
2.9%
to4460
 
2.6%
in3218
 
1.9%
is1944
 
1.1%
with1688
 
1.0%
his1380
 
0.8%
that1226
 
0.7%
Other values (7703)129555
76.6%

Most occurring characters

ValueCountFrequency (%)
166005
16.4%
e95219
 
9.4%
t64081
 
6.3%
a62774
 
6.2%
o58346
 
5.8%
n58220
 
5.7%
i55755
 
5.5%
s50661
 
5.0%
r48589
 
4.8%
h40436
 
4.0%
Other values (167)313141
30.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter767159
75.7%
Space Separator166404
 
16.4%
Uppercase Letter30000
 
3.0%
Other Punctuation27063
 
2.7%
Math Symbol17202
 
1.7%
Dash Punctuation2238
 
0.2%
Decimal Number2219
 
0.2%
Format268
 
< 0.1%
Open Punctuation250
 
< 0.1%
Close Punctuation250
 
< 0.1%
Other values (5)174
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e95219
12.4%
t64081
 
8.4%
a62774
 
8.2%
o58346
 
7.6%
n58220
 
7.6%
i55755
 
7.3%
s50661
 
6.6%
r48589
 
6.3%
h40436
 
5.3%
l30922
 
4.0%
Other values (67)202156
26.4%
Uppercase Letter
ValueCountFrequency (%)
T3143
 
10.5%
S2850
 
9.5%
A2190
 
7.3%
W1603
 
5.3%
C1462
 
4.9%
M1460
 
4.9%
L1417
 
4.7%
H1407
 
4.7%
Y1264
 
4.2%
I1153
 
3.8%
Other values (27)12051
40.2%
Other Letter
ValueCountFrequency (%)
6
 
6.0%
6
 
6.0%
6
 
6.0%
6
 
6.0%
6
 
6.0%
6
 
6.0%
6
 
6.0%
6
 
6.0%
4
 
4.0%
4
 
4.0%
Other values (11)44
44.0%
Other Punctuation
ValueCountFrequency (%)
,9849
36.4%
.8226
30.4%
/4493
16.6%
'2047
 
7.6%
"945
 
3.5%
!507
 
1.9%
:392
 
1.4%
?319
 
1.2%
;138
 
0.5%
&58
 
0.2%
Other values (4)89
 
0.3%
Decimal Number
ValueCountFrequency (%)
0619
27.9%
1445
20.1%
2417
18.8%
9212
 
9.6%
5119
 
5.4%
3107
 
4.8%
897
 
4.4%
479
 
3.6%
775
 
3.4%
649
 
2.2%
Math Symbol
ValueCountFrequency (%)
<8599
50.0%
>8599
50.0%
+4
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
-1895
84.7%
274
 
12.2%
69
 
3.1%
Space Separator
ValueCountFrequency (%)
166005
99.8%
 399
 
0.2%
Open Punctuation
ValueCountFrequency (%)
(244
97.6%
[6
 
2.4%
Close Punctuation
ValueCountFrequency (%)
)244
97.6%
]6
 
2.4%
Currency Symbol
ValueCountFrequency (%)
$30
88.2%
4
 
11.8%
Format
ValueCountFrequency (%)
268
100.0%
Initial Punctuation
ValueCountFrequency (%)
28
100.0%
Modifier Letter
ValueCountFrequency (%)
6
100.0%
Other Symbol
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin796101
78.6%
Common215968
 
21.3%
Cyrillic1058
 
0.1%
Han76
 
< 0.1%
Katakana24
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e95219
12.0%
t64081
 
8.0%
a62774
 
7.9%
o58346
 
7.3%
n58220
 
7.3%
i55755
 
7.0%
s50661
 
6.4%
r48589
 
6.1%
h40436
 
5.1%
l30922
 
3.9%
Other values (65)231098
29.0%
Common
ValueCountFrequency (%)
166005
76.9%
,9849
 
4.6%
<8599
 
4.0%
>8599
 
4.0%
.8226
 
3.8%
/4493
 
2.1%
'2047
 
0.9%
-1895
 
0.9%
"945
 
0.4%
0619
 
0.3%
Other values (32)4691
 
2.2%
Cyrillic
ValueCountFrequency (%)
т99
 
9.4%
и97
 
9.2%
е95
 
9.0%
о95
 
9.0%
а78
 
7.4%
с66
 
6.2%
н62
 
5.9%
м56
 
5.3%
к44
 
4.2%
в39
 
3.7%
Other values (29)327
30.9%
Han
ValueCountFrequency (%)
6
 
7.9%
6
 
7.9%
6
 
7.9%
6
 
7.9%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
Other values (7)28
36.8%
Katakana
ValueCountFrequency (%)
6
25.0%
6
25.0%
6
25.0%
6
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1010719
99.8%
Cyrillic1058
 
0.1%
Punctuation687
 
0.1%
None647
 
0.1%
CJK76
 
< 0.1%
Katakana30
 
< 0.1%
Dingbats6
 
< 0.1%
Currency Symbols4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166005
16.4%
e95219
 
9.4%
t64081
 
6.3%
a62774
 
6.2%
o58346
 
5.8%
n58220
 
5.8%
i55755
 
5.5%
s50661
 
5.0%
r48589
 
4.8%
h40436
 
4.0%
Other values (75)310633
30.7%
None
ValueCountFrequency (%)
 399
61.7%
é52
 
8.0%
ä26
 
4.0%
å24
 
3.7%
ø20
 
3.1%
ö15
 
2.3%
Í12
 
1.9%
ü12
 
1.9%
ā11
 
1.7%
č10
 
1.5%
Other values (14)66
 
10.2%
Punctuation
ValueCountFrequency (%)
274
39.9%
268
39.0%
69
 
10.0%
48
 
7.0%
28
 
4.1%
Cyrillic
ValueCountFrequency (%)
т99
 
9.4%
и97
 
9.2%
е95
 
9.0%
о95
 
9.0%
а78
 
7.4%
с66
 
6.2%
н62
 
5.9%
м56
 
5.3%
к44
 
4.2%
в39
 
3.7%
Other values (29)327
30.9%
Katakana
ValueCountFrequency (%)
6
20.0%
6
20.0%
6
20.0%
6
20.0%
6
20.0%
Dingbats
ValueCountFrequency (%)
6
100.0%
CJK
ValueCountFrequency (%)
6
 
7.9%
6
 
7.9%
6
 
7.9%
6
 
7.9%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
4
 
5.3%
Other values (7)28
36.8%
Currency Symbols
ValueCountFrequency (%)
4
100.0%

_embedded.show.updated
Real number (ℝ≥0)

HIGH CORRELATION

Distinct633
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1640180054
Minimum1602172227
Maximum1663430644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:35.546120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1602172227
5-th percentile1608999738
Q11619633499
median1646682390
Q31655968985
95-th percentile1663236310
Maximum1663430644
Range61258417
Interquartile range (IQR)36335486

Descriptive statistics

Standard deviation19218294.68
Coefficient of variation (CV)0.01171718595
Kurtosis-1.255122597
Mean1640180054
Median Absolute Deviation (MAD)13820886
Skewness-0.4792030928
Sum5.055034926 × 1012
Variance3.693428504 × 1014
MonotonicityNot monotonic
2022-09-17T22:00:35.774426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164819005838
 
1.2%
164011241532
 
1.0%
164476200531
 
1.0%
165497641130
 
1.0%
160953514129
 
0.9%
161963349928
 
0.9%
164821702926
 
0.8%
164917808426
 
0.8%
161143684224
 
0.8%
161247814524
 
0.8%
Other values (623)2794
90.7%
ValueCountFrequency (%)
16021722272
 
0.1%
16034670374
0.1%
16045871195
0.2%
16045871454
0.1%
16071040924
0.1%
16071675852
 
0.1%
16072788878
0.3%
16073820732
 
0.1%
16074646181
 
< 0.1%
16075487681
 
< 0.1%
ValueCountFrequency (%)
16634306442
 
0.1%
166342849719
0.6%
16634261815
 
0.2%
166342558919
0.6%
16634254525
 
0.2%
16634236175
 
0.2%
16634035001
 
< 0.1%
16633991151
 
< 0.1%
16633665298
0.3%
16633592701
 
< 0.1%

_embedded.show._links.self.href
Categorical

HIGH CARDINALITY

Distinct633
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
https://api.tvmaze.com/shows/15250
 
38
https://api.tvmaze.com/shows/55355
 
32
https://api.tvmaze.com/shows/30606
 
31
https://api.tvmaze.com/shows/52743
 
30
https://api.tvmaze.com/shows/52104
 
29
Other values (628)
2922 

Length

Max length34
Median length34
Mean length33.97177158
Min length32

Characters and Unicode

Total characters104701
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)4.0%

Sample

1st rowhttps://api.tvmaze.com/shows/41648
2nd rowhttps://api.tvmaze.com/shows/52198
3rd rowhttps://api.tvmaze.com/shows/52933
4th rowhttps://api.tvmaze.com/shows/51336
5th rowhttps://api.tvmaze.com/shows/54033

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/shows/1525038
 
1.2%
https://api.tvmaze.com/shows/5535532
 
1.0%
https://api.tvmaze.com/shows/3060631
 
1.0%
https://api.tvmaze.com/shows/5274330
 
1.0%
https://api.tvmaze.com/shows/5210429
 
0.9%
https://api.tvmaze.com/shows/5242128
 
0.9%
https://api.tvmaze.com/shows/4791226
 
0.8%
https://api.tvmaze.com/shows/5280626
 
0.8%
https://api.tvmaze.com/shows/5075224
 
0.8%
https://api.tvmaze.com/shows/5252424
 
0.8%
Other values (623)2794
90.7%

Length

2022-09-17T22:00:36.011708image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/shows/1525038
 
1.2%
https://api.tvmaze.com/shows/5535532
 
1.0%
https://api.tvmaze.com/shows/3060631
 
1.0%
https://api.tvmaze.com/shows/5274330
 
1.0%
https://api.tvmaze.com/shows/5210429
 
0.9%
https://api.tvmaze.com/shows/5242128
 
0.9%
https://api.tvmaze.com/shows/4791226
 
0.8%
https://api.tvmaze.com/shows/5280626
 
0.8%
https://api.tvmaze.com/shows/5075224
 
0.8%
https://api.tvmaze.com/shows/5252424
 
0.8%
Other values (623)2794
90.7%

Most occurring characters

ValueCountFrequency (%)
/12328
 
11.8%
s9246
 
8.8%
t9246
 
8.8%
h6164
 
5.9%
p6164
 
5.9%
a6164
 
5.9%
o6164
 
5.9%
.6164
 
5.9%
m6164
 
5.9%
e3082
 
2.9%
Other values (16)33815
32.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter67804
64.8%
Other Punctuation21574
 
20.6%
Decimal Number15323
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s9246
13.6%
t9246
13.6%
h6164
9.1%
p6164
9.1%
a6164
9.1%
o6164
9.1%
m6164
9.1%
e3082
 
4.5%
w3082
 
4.5%
c3082
 
4.5%
Other values (3)9246
13.6%
Decimal Number
ValueCountFrequency (%)
52953
19.3%
41866
12.2%
21856
12.1%
11544
10.1%
61327
8.7%
31278
8.3%
01238
8.1%
91138
 
7.4%
81071
 
7.0%
71052
 
6.9%
Other Punctuation
ValueCountFrequency (%)
/12328
57.1%
.6164
28.6%
:3082
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin67804
64.8%
Common36897
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/12328
33.4%
.6164
16.7%
:3082
 
8.4%
52953
 
8.0%
41866
 
5.1%
21856
 
5.0%
11544
 
4.2%
61327
 
3.6%
31278
 
3.5%
01238
 
3.4%
Other values (3)3261
 
8.8%
Latin
ValueCountFrequency (%)
s9246
13.6%
t9246
13.6%
h6164
9.1%
p6164
9.1%
a6164
9.1%
o6164
9.1%
m6164
9.1%
e3082
 
4.5%
w3082
 
4.5%
c3082
 
4.5%
Other values (3)9246
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII104701
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/12328
 
11.8%
s9246
 
8.8%
t9246
 
8.8%
h6164
 
5.9%
p6164
 
5.9%
a6164
 
5.9%
o6164
 
5.9%
.6164
 
5.9%
m6164
 
5.9%
e3082
 
2.9%
Other values (16)33815
32.3%
Distinct633
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size24.2 KiB
https://api.tvmaze.com/episodes/2301276
 
38
https://api.tvmaze.com/episodes/2092988
 
32
https://api.tvmaze.com/episodes/2275469
 
31
https://api.tvmaze.com/episodes/1997552
 
30
https://api.tvmaze.com/episodes/1976054
 
29
Other values (628)
2922 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters120198
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)4.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/1988862
2nd rowhttps://api.tvmaze.com/episodes/1986873
3rd rowhttps://api.tvmaze.com/episodes/2245512
4th rowhttps://api.tvmaze.com/episodes/1964569
5th rowhttps://api.tvmaze.com/episodes/2309444

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/230127638
 
1.2%
https://api.tvmaze.com/episodes/209298832
 
1.0%
https://api.tvmaze.com/episodes/227546931
 
1.0%
https://api.tvmaze.com/episodes/199755230
 
1.0%
https://api.tvmaze.com/episodes/197605429
 
0.9%
https://api.tvmaze.com/episodes/198549628
 
0.9%
https://api.tvmaze.com/episodes/197259126
 
0.8%
https://api.tvmaze.com/episodes/200008326
 
0.8%
https://api.tvmaze.com/episodes/198807924
 
0.8%
https://api.tvmaze.com/episodes/207149424
 
0.8%
Other values (623)2794
90.7%

Length

2022-09-17T22:00:36.202353image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/230127638
 
1.2%
https://api.tvmaze.com/episodes/209298832
 
1.0%
https://api.tvmaze.com/episodes/227546931
 
1.0%
https://api.tvmaze.com/episodes/199755230
 
1.0%
https://api.tvmaze.com/episodes/197605429
 
0.9%
https://api.tvmaze.com/episodes/198549628
 
0.9%
https://api.tvmaze.com/episodes/197259126
 
0.8%
https://api.tvmaze.com/episodes/200008326
 
0.8%
https://api.tvmaze.com/episodes/198807924
 
0.8%
https://api.tvmaze.com/episodes/207149424
 
0.8%
Other values (623)2794
90.7%

Most occurring characters

ValueCountFrequency (%)
/12328
 
10.3%
t9246
 
7.7%
p9246
 
7.7%
s9246
 
7.7%
e9246
 
7.7%
a6164
 
5.1%
i6164
 
5.1%
.6164
 
5.1%
m6164
 
5.1%
o6164
 
5.1%
Other values (16)40066
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter77050
64.1%
Other Punctuation21574
 
17.9%
Decimal Number21574
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t9246
12.0%
p9246
12.0%
s9246
12.0%
e9246
12.0%
a6164
8.0%
i6164
8.0%
m6164
8.0%
o6164
8.0%
h3082
 
4.0%
d3082
 
4.0%
Other values (3)9246
12.0%
Decimal Number
ValueCountFrequency (%)
23830
17.8%
92953
13.7%
12689
12.5%
32097
9.7%
01988
9.2%
71874
8.7%
81673
7.8%
51597
7.4%
41459
 
6.8%
61414
 
6.6%
Other Punctuation
ValueCountFrequency (%)
/12328
57.1%
.6164
28.6%
:3082
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin77050
64.1%
Common43148
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/12328
28.6%
.6164
14.3%
23830
 
8.9%
:3082
 
7.1%
92953
 
6.8%
12689
 
6.2%
32097
 
4.9%
01988
 
4.6%
71874
 
4.3%
81673
 
3.9%
Other values (3)4470
 
10.4%
Latin
ValueCountFrequency (%)
t9246
12.0%
p9246
12.0%
s9246
12.0%
e9246
12.0%
a6164
8.0%
i6164
8.0%
m6164
8.0%
o6164
8.0%
h3082
 
4.0%
d3082
 
4.0%
Other values (3)9246
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII120198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/12328
 
10.3%
t9246
 
7.7%
p9246
 
7.7%
s9246
 
7.7%
e9246
 
7.7%
a6164
 
5.1%
i6164
 
5.1%
.6164
 
5.1%
m6164
 
5.1%
o6164
 
5.1%
Other values (16)40066
33.3%

image.medium
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct1017
Distinct (%)100.0%
Missing2065
Missing (%)67.0%
Memory size24.2 KiB
https://static.tvmaze.com/uploads/images/medium_landscape/293/734731.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/289/723313.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/402/1005621.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/287/717840.jpg
 
1
https://static.tvmaze.com/uploads/images/medium_landscape/286/716315.jpg
 
1
Other values (1012)
1012 

Length

Max length73
Median length72
Mean length72.04523107
Min length72

Characters and Unicode

Total characters73270
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1017 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/286/715105.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/284/710997.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/284/710998.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/284/710999.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/293/734731.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723313.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/402/1005621.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/717840.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716315.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/289/724756.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/727363.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/719828.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/289/723316.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716044.jpg1
 
< 0.1%
Other values (1007)1007
32.7%
(Missing)2065
67.0%

Length

2022-09-17T22:00:36.373228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/293/734731.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/286/716289.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727776.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/290/726546.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/382/955839.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/287/718323.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/291/727777.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/284/711894.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/378/946852.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/medium_landscape/414/1037126.jpg1
 
0.1%
Other values (1007)1007
99.0%

Most occurring characters

ValueCountFrequency (%)
/7119
 
9.7%
a6102
 
8.3%
s5085
 
6.9%
m5085
 
6.9%
t5085
 
6.9%
p4068
 
5.6%
e4068
 
5.6%
i3051
 
4.2%
c3051
 
4.2%
.3051
 
4.2%
Other values (22)27505
37.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter51867
70.8%
Other Punctuation11187
 
15.3%
Decimal Number9199
 
12.6%
Connector Punctuation1017
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a6102
11.8%
s5085
9.8%
m5085
9.8%
t5085
9.8%
p4068
 
7.8%
e4068
 
7.8%
i3051
 
5.9%
c3051
 
5.9%
d3051
 
5.9%
l2034
 
3.9%
Other values (8)11187
21.6%
Decimal Number
ValueCountFrequency (%)
21927
20.9%
71439
15.6%
81113
12.1%
9907
9.9%
1803
8.7%
3755
 
8.2%
0712
 
7.7%
6661
 
7.2%
5447
 
4.9%
4435
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/7119
63.6%
.3051
27.3%
:1017
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_1017
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin51867
70.8%
Common21403
29.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
a6102
11.8%
s5085
9.8%
m5085
9.8%
t5085
9.8%
p4068
 
7.8%
e4068
 
7.8%
i3051
 
5.9%
c3051
 
5.9%
d3051
 
5.9%
l2034
 
3.9%
Other values (8)11187
21.6%
Common
ValueCountFrequency (%)
/7119
33.3%
.3051
14.3%
21927
 
9.0%
71439
 
6.7%
81113
 
5.2%
_1017
 
4.8%
:1017
 
4.8%
9907
 
4.2%
1803
 
3.8%
3755
 
3.5%
Other values (4)2255
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII73270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/7119
 
9.7%
a6102
 
8.3%
s5085
 
6.9%
m5085
 
6.9%
t5085
 
6.9%
p4068
 
5.6%
e4068
 
5.6%
i3051
 
4.2%
c3051
 
4.2%
.3051
 
4.2%
Other values (22)27505
37.5%

image.original
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct1017
Distinct (%)100.0%
Missing2065
Missing (%)67.0%
Memory size24.2 KiB
https://static.tvmaze.com/uploads/images/original_untouched/293/733849.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/289/723317.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/290/727208.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/292/732081.jpg
 
1
https://static.tvmaze.com/uploads/images/original_untouched/375/937750.jpg
 
1
Other values (1012)
1012 

Length

Max length75
Median length74
Mean length74.04523107
Min length74

Characters and Unicode

Total characters75304
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1017 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/286/715105.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/284/710997.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/284/710998.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/284/710999.jpg

Common Values

ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/293/733849.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/289/723317.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/727208.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/292/732081.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/375/937750.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/725622.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/317/794260.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/288/720523.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/317/794449.jpg1
 
< 0.1%
https://static.tvmaze.com/uploads/images/original_untouched/393/983025.jpg1
 
< 0.1%
Other values (1007)1007
32.7%
(Missing)2065
67.0%

Length

2022-09-17T22:00:36.537451image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/293/733849.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/727731.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/729309.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/291/728230.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/288/720839.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/286/716272.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/288/720563.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/727357.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/290/725745.jpg1
 
0.1%
https://static.tvmaze.com/uploads/images/original_untouched/289/723341.jpg1
 
0.1%
Other values (1007)1007
99.0%

Most occurring characters

ValueCountFrequency (%)
/7119
 
9.5%
t6102
 
8.1%
a5085
 
6.8%
s4068
 
5.4%
i4068
 
5.4%
o4068
 
5.4%
p3051
 
4.1%
c3051
 
4.1%
.3051
 
4.1%
g3051
 
4.1%
Other values (23)32590
43.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter53901
71.6%
Other Punctuation11187
 
14.9%
Decimal Number9199
 
12.2%
Connector Punctuation1017
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t6102
 
11.3%
a5085
 
9.4%
s4068
 
7.5%
i4068
 
7.5%
o4068
 
7.5%
p3051
 
5.7%
c3051
 
5.7%
g3051
 
5.7%
m3051
 
5.7%
e3051
 
5.7%
Other values (9)15255
28.3%
Decimal Number
ValueCountFrequency (%)
21927
20.9%
71439
15.6%
81113
12.1%
9907
9.9%
1803
8.7%
3755
 
8.2%
0712
 
7.7%
6661
 
7.2%
5447
 
4.9%
4435
 
4.7%
Other Punctuation
ValueCountFrequency (%)
/7119
63.6%
.3051
27.3%
:1017
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_1017
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin53901
71.6%
Common21403
 
28.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t6102
 
11.3%
a5085
 
9.4%
s4068
 
7.5%
i4068
 
7.5%
o4068
 
7.5%
p3051
 
5.7%
c3051
 
5.7%
g3051
 
5.7%
m3051
 
5.7%
e3051
 
5.7%
Other values (9)15255
28.3%
Common
ValueCountFrequency (%)
/7119
33.3%
.3051
14.3%
21927
 
9.0%
71439
 
6.7%
81113
 
5.2%
:1017
 
4.8%
_1017
 
4.8%
9907
 
4.2%
1803
 
3.8%
3755
 
3.5%
Other values (4)2255
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII75304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/7119
 
9.5%
t6102
 
8.1%
a5085
 
6.8%
s4068
 
5.4%
i4068
 
5.4%
o4068
 
5.4%
p3051
 
4.1%
c3051
 
4.1%
.3051
 
4.1%
g3051
 
4.1%
Other values (23)32590
43.3%

_embedded.show._links.nextepisode.href
Categorical

HIGH CORRELATION
MISSING

Distinct44
Distinct (%)20.4%
Missing2866
Missing (%)93.0%
Memory size24.2 KiB
https://api.tvmaze.com/episodes/2395065
19 
https://api.tvmaze.com/episodes/2379710
19 
https://api.tvmaze.com/episodes/2392689
 
11
https://api.tvmaze.com/episodes/2378189
 
10
https://api.tvmaze.com/episodes/2309445
 
9
Other values (39)
148 

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters8424
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)3.2%

Sample

1st rowhttps://api.tvmaze.com/episodes/2309445
2nd rowhttps://api.tvmaze.com/episodes/2392689
3rd rowhttps://api.tvmaze.com/episodes/2389111
4th rowhttps://api.tvmaze.com/episodes/2395065
5th rowhttps://api.tvmaze.com/episodes/2383147

Common Values

ValueCountFrequency (%)
https://api.tvmaze.com/episodes/239506519
 
0.6%
https://api.tvmaze.com/episodes/237971019
 
0.6%
https://api.tvmaze.com/episodes/239268911
 
0.4%
https://api.tvmaze.com/episodes/237818910
 
0.3%
https://api.tvmaze.com/episodes/23094459
 
0.3%
https://api.tvmaze.com/episodes/23767299
 
0.3%
https://api.tvmaze.com/episodes/23813009
 
0.3%
https://api.tvmaze.com/episodes/23947698
 
0.3%
https://api.tvmaze.com/episodes/23773926
 
0.2%
https://api.tvmaze.com/episodes/23671096
 
0.2%
Other values (34)110
 
3.6%
(Missing)2866
93.0%

Length

2022-09-17T22:00:36.692869image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/239506519
 
8.8%
https://api.tvmaze.com/episodes/237971019
 
8.8%
https://api.tvmaze.com/episodes/239268911
 
5.1%
https://api.tvmaze.com/episodes/237818910
 
4.6%
https://api.tvmaze.com/episodes/23094459
 
4.2%
https://api.tvmaze.com/episodes/23767299
 
4.2%
https://api.tvmaze.com/episodes/23813009
 
4.2%
https://api.tvmaze.com/episodes/23947698
 
3.7%
https://api.tvmaze.com/episodes/23773926
 
2.8%
https://api.tvmaze.com/episodes/23671096
 
2.8%
Other values (34)110
50.9%

Most occurring characters

ValueCountFrequency (%)
/864
 
10.3%
p648
 
7.7%
s648
 
7.7%
e648
 
7.7%
t648
 
7.7%
o432
 
5.1%
a432
 
5.1%
i432
 
5.1%
.432
 
5.1%
m432
 
5.1%
Other values (16)2808
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter5400
64.1%
Other Punctuation1512
 
17.9%
Decimal Number1512
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p648
12.0%
s648
12.0%
e648
12.0%
t648
12.0%
o432
8.0%
a432
8.0%
i432
8.0%
m432
8.0%
h216
 
4.0%
d216
 
4.0%
Other values (3)648
12.0%
Decimal Number
ValueCountFrequency (%)
3306
20.2%
2253
16.7%
9180
11.9%
7155
10.3%
8122
 
8.1%
0115
 
7.6%
1107
 
7.1%
599
 
6.5%
691
 
6.0%
484
 
5.6%
Other Punctuation
ValueCountFrequency (%)
/864
57.1%
.432
28.6%
:216
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin5400
64.1%
Common3024
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/864
28.6%
.432
14.3%
3306
 
10.1%
2253
 
8.4%
:216
 
7.1%
9180
 
6.0%
7155
 
5.1%
8122
 
4.0%
0115
 
3.8%
1107
 
3.5%
Other values (3)274
 
9.1%
Latin
ValueCountFrequency (%)
p648
12.0%
s648
12.0%
e648
12.0%
t648
12.0%
o432
8.0%
a432
8.0%
i432
8.0%
m432
8.0%
h216
 
4.0%
d216
 
4.0%
Other values (3)648
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII8424
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/864
 
10.3%
p648
 
7.7%
s648
 
7.7%
e648
 
7.7%
t648
 
7.7%
o432
 
5.1%
a432
 
5.1%
i432
 
5.1%
.432
 
5.1%
m432
 
5.1%
Other values (16)2808
33.3%

_embedded.show.webChannel
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3082
Missing (%)100.0%
Memory size24.2 KiB

_embedded.show.image
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3082
Missing (%)100.0%
Memory size24.2 KiB

_embedded.show.webChannel.country
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3082
Missing (%)100.0%
Memory size24.2 KiB

_embedded.show.dvdCountry.name
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)18.5%
Missing3055
Missing (%)99.1%
Memory size24.2 KiB
Ukraine
10 
Korea, Republic of
Japan
Russian Federation
Poland
 
1

Length

Max length18
Median length7
Mean length11.55555556
Min length5

Characters and Unicode

Total characters312
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowJapan
2nd rowUkraine
3rd rowKorea, Republic of
4th rowRussian Federation
5th rowUkraine

Common Values

ValueCountFrequency (%)
Ukraine10
 
0.3%
Korea, Republic of8
 
0.3%
Japan4
 
0.1%
Russian Federation4
 
0.1%
Poland1
 
< 0.1%
(Missing)3055
99.1%

Length

2022-09-17T22:00:36.859452image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-17T22:00:37.049501image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
ukraine10
21.3%
korea8
17.0%
republic8
17.0%
of8
17.0%
japan4
 
8.5%
russian4
 
8.5%
federation4
 
8.5%
poland1
 
2.1%

Most occurring characters

ValueCountFrequency (%)
a35
 
11.2%
e34
 
10.9%
i26
 
8.3%
n23
 
7.4%
r22
 
7.1%
o21
 
6.7%
20
 
6.4%
p12
 
3.8%
R12
 
3.8%
u12
 
3.8%
Other values (14)95
30.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter245
78.5%
Uppercase Letter39
 
12.5%
Space Separator20
 
6.4%
Other Punctuation8
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a35
14.3%
e34
13.9%
i26
10.6%
n23
9.4%
r22
9.0%
o21
8.6%
p12
 
4.9%
u12
 
4.9%
k10
 
4.1%
l9
 
3.7%
Other values (6)41
16.7%
Uppercase Letter
ValueCountFrequency (%)
R12
30.8%
U10
25.6%
K8
20.5%
J4
 
10.3%
F4
 
10.3%
P1
 
2.6%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
,8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin284
91.0%
Common28
 
9.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a35
12.3%
e34
12.0%
i26
 
9.2%
n23
 
8.1%
r22
 
7.7%
o21
 
7.4%
p12
 
4.2%
R12
 
4.2%
u12
 
4.2%
k10
 
3.5%
Other values (12)77
27.1%
Common
ValueCountFrequency (%)
20
71.4%
,8
 
28.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a35
 
11.2%
e34
 
10.9%
i26
 
8.3%
n23
 
7.4%
r22
 
7.1%
o21
 
6.7%
20
 
6.4%
p12
 
3.8%
R12
 
3.8%
u12
 
3.8%
Other values (14)95
30.4%

_embedded.show.dvdCountry.code
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)18.5%
Missing3055
Missing (%)99.1%
Memory size24.2 KiB
UA
10 
KR
JP
RU
PL
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters54
Distinct characters7
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowJP
2nd rowUA
3rd rowKR
4th rowRU
5th rowUA

Common Values

ValueCountFrequency (%)
UA10
 
0.3%
KR8
 
0.3%
JP4
 
0.1%
RU4
 
0.1%
PL1
 
< 0.1%
(Missing)3055
99.1%

Length

2022-09-17T22:00:37.216218image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-17T22:00:37.378752image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
ua10
37.0%
kr8
29.6%
jp4
 
14.8%
ru4
 
14.8%
pl1
 
3.7%

Most occurring characters

ValueCountFrequency (%)
U14
25.9%
R12
22.2%
A10
18.5%
K8
14.8%
P5
 
9.3%
J4
 
7.4%
L1
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter54
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
U14
25.9%
R12
22.2%
A10
18.5%
K8
14.8%
P5
 
9.3%
J4
 
7.4%
L1
 
1.9%

Most occurring scripts

ValueCountFrequency (%)
Latin54
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
U14
25.9%
R12
22.2%
A10
18.5%
K8
14.8%
P5
 
9.3%
J4
 
7.4%
L1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII54
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
U14
25.9%
R12
22.2%
A10
18.5%
K8
14.8%
P5
 
9.3%
J4
 
7.4%
L1
 
1.9%

_embedded.show.dvdCountry.timezone
Categorical

HIGH CORRELATION
MISSING

Distinct5
Distinct (%)18.5%
Missing3055
Missing (%)99.1%
Memory size24.2 KiB
Europe/Zaporozhye
10 
Asia/Seoul
Asia/Tokyo
Asia/Kamchatka
Europe/Warsaw
 
1

Length

Max length17
Median length14
Mean length13.2962963
Min length10

Characters and Unicode

Total characters359
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)3.7%

Sample

1st rowAsia/Tokyo
2nd rowEurope/Zaporozhye
3rd rowAsia/Seoul
4th rowAsia/Kamchatka
5th rowEurope/Zaporozhye

Common Values

ValueCountFrequency (%)
Europe/Zaporozhye10
 
0.3%
Asia/Seoul8
 
0.3%
Asia/Tokyo4
 
0.1%
Asia/Kamchatka4
 
0.1%
Europe/Warsaw1
 
< 0.1%
(Missing)3055
99.1%

Length

2022-09-17T22:00:37.552953image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Category Frequency Plot

2022-09-17T22:00:37.739649image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
europe/zaporozhye10
37.0%
asia/seoul8
29.6%
asia/tokyo4
 
14.8%
asia/kamchatka4
 
14.8%
europe/warsaw1
 
3.7%

Most occurring characters

ValueCountFrequency (%)
o47
13.1%
a40
 
11.1%
e29
 
8.1%
/27
 
7.5%
r22
 
6.1%
p21
 
5.8%
u19
 
5.3%
s17
 
4.7%
A16
 
4.5%
i16
 
4.5%
Other values (15)105
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter278
77.4%
Uppercase Letter54
 
15.0%
Other Punctuation27
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o47
16.9%
a40
14.4%
e29
10.4%
r22
7.9%
p21
7.6%
u19
6.8%
s17
 
6.1%
i16
 
5.8%
h14
 
5.0%
y14
 
5.0%
Other values (7)39
14.0%
Uppercase Letter
ValueCountFrequency (%)
A16
29.6%
E11
20.4%
Z10
18.5%
S8
14.8%
T4
 
7.4%
K4
 
7.4%
W1
 
1.9%
Other Punctuation
ValueCountFrequency (%)
/27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin332
92.5%
Common27
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
o47
14.2%
a40
12.0%
e29
 
8.7%
r22
 
6.6%
p21
 
6.3%
u19
 
5.7%
s17
 
5.1%
A16
 
4.8%
i16
 
4.8%
h14
 
4.2%
Other values (14)91
27.4%
Common
ValueCountFrequency (%)
/27
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII359
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o47
13.1%
a40
 
11.1%
e29
 
8.1%
/27
 
7.5%
r22
 
6.1%
p21
 
5.8%
u19
 
5.3%
s17
 
4.7%
A16
 
4.5%
i16
 
4.5%
Other values (15)105
29.2%

_embedded.show.id
Real number (ℝ≥0)

HIGH CORRELATION

Distinct633
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46952.47664
Minimum802
Maximum64152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:37.953727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum802
5-th percentile15250
Q144135
median51954
Q352806
95-th percentile60156
Maximum64152
Range63350
Interquartile range (IQR)8671

Descriptive statistics

Standard deviation12449.65797
Coefficient of variation (CV)0.2651544468
Kurtosis3.026877779
Mean46952.47664
Median Absolute Deviation (MAD)2825
Skewness-1.820832003
Sum144707533
Variance154993983.5
MonotonicityNot monotonic
2022-09-17T22:00:38.184470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1525038
 
1.2%
5535532
 
1.0%
3060631
 
1.0%
5274330
 
1.0%
5210429
 
0.9%
5242128
 
0.9%
4791226
 
0.8%
5280626
 
0.8%
5476224
 
0.8%
5075224
 
0.8%
Other values (623)2794
90.7%
ValueCountFrequency (%)
8024
 
0.1%
15962
 
0.1%
18255
 
0.2%
22666
 
0.2%
250419
0.6%
28551
 
< 0.1%
37341
 
< 0.1%
40913
 
0.1%
50581
 
< 0.1%
60904
 
0.1%
ValueCountFrequency (%)
641521
 
< 0.1%
641324
 
0.1%
640238
0.3%
639675
0.2%
637613
 
0.1%
6371910
0.3%
633104
 
0.1%
631554
 
0.1%
629012
 
0.1%
627646
0.2%

_embedded.show.webChannel.id
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct140
Distinct (%)4.7%
Missing85
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean148.5395395
Minimum1
Maximum538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:38.421513image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q121
median104
Q3238
95-th percentile420
Maximum538
Range537
Interquartile range (IQR)217

Descriptive statistics

Standard deviation142.4876691
Coefficient of variation (CV)0.9592575116
Kurtosis-0.4610331784
Mean148.5395395
Median Absolute Deviation (MAD)83
Skewness0.8386405992
Sum445173
Variance20302.73584
MonotonicityNot monotonic
2022-09-17T22:00:38.655998image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21536
17.4%
104254
 
8.2%
1235
 
7.6%
67169
 
5.5%
118139
 
4.5%
238118
 
3.8%
17385
 
2.8%
367
 
2.2%
32960
 
1.9%
37959
 
1.9%
Other values (130)1275
41.4%
(Missing)85
 
2.8%
ValueCountFrequency (%)
1235
7.6%
224
 
0.8%
367
 
2.2%
1217
 
0.6%
1538
 
1.2%
2018
 
0.6%
21536
17.4%
224
 
0.1%
268
 
0.3%
3053
 
1.7%
ValueCountFrequency (%)
53810
0.3%
5334
 
0.1%
5291
 
< 0.1%
5189
0.3%
51617
0.6%
5109
0.3%
5075
 
0.2%
5061
 
< 0.1%
4985
 
0.2%
4933
 
0.1%

_embedded.show.network.id
Real number (ℝ≥0)

HIGH CORRELATION
MISSING

Distinct43
Distinct (%)19.8%
Missing2865
Missing (%)93.0%
Infinite0
Infinite (%)0.0%
Mean453.6082949
Minimum8
Maximum1862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.2 KiB
2022-09-17T22:00:38.863960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile23
Q1112
median276
Q3514
95-th percentile1808
Maximum1862
Range1854
Interquartile range (IQR)402

Descriptive statistics

Standard deviation523.412192
Coefficient of variation (CV)1.153885848
Kurtosis1.557999885
Mean453.6082949
Median Absolute Deviation (MAD)170
Skewness1.656339883
Sum98433
Variance273960.3227
MonotonicityNot monotonic
2022-09-17T22:00:39.069634image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
11219
 
0.6%
37417
 
0.6%
51411
 
0.4%
180811
 
0.4%
3010
 
0.3%
55110
 
0.3%
1329
 
0.3%
3088
 
0.3%
3398
 
0.3%
238
 
0.3%
Other values (33)106
 
3.4%
(Missing)2865
93.0%
ValueCountFrequency (%)
84
 
0.1%
238
0.3%
3010
0.3%
371
 
< 0.1%
413
 
0.1%
491
 
< 0.1%
514
 
0.1%
763
 
0.1%
785
0.2%
853
 
0.1%
ValueCountFrequency (%)
18623
 
0.1%
180811
0.4%
17663
 
0.1%
16832
 
0.1%
15691
 
< 0.1%
13544
 
0.1%
13204
 
0.1%
12821
 
< 0.1%
12623
 
0.1%
10062
 
0.1%

Interactions

2022-09-17T22:00:05.289446image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:55:33.760286image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:56:47.317375image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:08.417139image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:27.261329image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:47.161192image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:56.669465image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:59.331210image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:13.476990image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:45.332934image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:59:44.015629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:11.685604image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:55:46.187753image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:57:52.234908image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:57.735117image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:03.830312image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:20.934105image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:55.888620image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T22:00:11.957629image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:55:52.633599image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:56:53.862197image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:14.916197image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:33.218551image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:52.391793image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:58:04.038903image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:59:00.247480image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T22:00:12.190267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:55:58.057945image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:56:54.064968image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:57:33.411216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:52.556496image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:59:04.408572image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:59:51.341274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:12.432996image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:56:03.938910image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:56:54.263918image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:57:33.605751image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:52.726498image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:58.222058image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:04.414259image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:24.652318image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:59:08.548717image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T21:57:59.043695image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2022-09-17T22:00:04.199662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:24.716929image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:56:41.667137image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:08.177219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:27.022119image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:46.940987image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:56.513222image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:57:59.191918image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:13.260401image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:58:44.012678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T21:59:36.554951image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2022-09-17T22:00:04.836818image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2022-09-17T22:00:39.267245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-09-17T22:00:39.597672image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-09-17T22:00:39.914619image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-09-17T22:00:40.272441image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-09-17T22:00:25.332319image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-09-17T22:00:27.149925image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-09-17T22:00:27.865546image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-09-17T22:00:28.470672image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

idurlnameseasonnumbertypeairdateairtimeairstampruntimeimagesummaryrating.average_links.self.href_embedded.show.dvdCountry_embedded.show.externals.tvrage_embedded.show.externals.thetvdb_embedded.show.externals.imdb_embedded.show.image.medium_embedded.show.image.original_embedded.show.summary_embedded.show.updated_embedded.show._links.self.href_embedded.show._links.previousepisode.hrefimage.mediumimage.original_embedded.show._links.nextepisode.href_embedded.show.webChannel_embedded.show.image_embedded.show.webChannel.country_embedded.show.dvdCountry.name_embedded.show.dvdCountry.code_embedded.show.dvdCountry.timezone_embedded.show.id_embedded.show.webChannel.id_embedded.show.network.id
01979824https://www.tvmaze.com/episodes/1979824/sim-for-you-4x16-chanyeols-episode-16Chanyeol's Episode 16416.0regular2020-12-012022-09-17 06:00:002020-11-30 21:00:0016.0NaN<p><b>#ObtainedAConversationalSkill #WeSetUpATent♥ #ManySmiles</b></p>NaNhttps://api.tvmaze.com/episodes/1979824NaNNaN361541.0NaNhttps://static.tvmaze.com/uploads/images/medium_portrait/190/476668.jpghttps://static.tvmaze.com/uploads/images/original_untouched/190/476668.jpg<p><b>Sim for You</b> is a reality series that chronicles each EXO member's life and reveal stories from their everyday life as a series.</p>1608499007https://api.tvmaze.com/shows/41648https://api.tvmaze.com/episodes/1988862NaNNaNNaNNaNNaNNaNNaNNaNNaN41648122.0nan
11979222https://www.tvmaze.com/episodes/1979222/kotiki-1x02-seria-2Серия 212.0regular2020-12-01NaT2020-12-01 00:00:0012.0NaNNaNNaNhttps://api.tvmaze.com/episodes/1979222NaNNaN392682.0NaNhttps://static.tvmaze.com/uploads/images/medium_portrait/355/888089.jpghttps://static.tvmaze.com/uploads/images/original_untouched/355/888089.jpgNaN1637555191https://api.tvmaze.com/shows/52198https://api.tvmaze.com/episodes/1986873NaNNaNNaNNaNNaNNaNNaNNaNNaN52198510.0nan
22008027https://www.tvmaze.com/episodes/2008027/lab-s-antonom-belaevym-2x06-lolitaЛолита26.0regular2020-12-01NaT2020-12-01 00:00:0029.0NaNNaNNaNhttps://api.tvmaze.com/episodes/2008027NaNNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_portrait/379/948045.jpghttps://static.tvmaze.com/uploads/images/original_untouched/379/948045.jpg<p>Russian music artists reveal themselves from unexpected sides in the Anton Belyaev's show.</p>1654035738https://api.tvmaze.com/shows/52933https://api.tvmaze.com/episodes/2245512https://static.tvmaze.com/uploads/images/medium_landscape/294/737206.jpghttps://static.tvmaze.com/uploads/images/original_untouched/294/737206.jpgNaNNaNNaNNaNNaNNaNNaN52933381.0308.0
31964565https://www.tvmaze.com/episodes/1964565/core-sense-1x09-episode-9Episode 919.0regular2020-12-012022-09-17 10:00:002020-12-01 02:00:0024.0NaNNaNNaNhttps://api.tvmaze.com/episodes/1964565NaNNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_portrait/278/696645.jpghttps://static.tvmaze.com/uploads/images/original_untouched/278/696645.jpg<p>The power of beginnings, the energy of the core stone; one may find it good, one may find it evil. During a normal investigation, Yue Juntian finds himself drawn into the battle between the 'beginnings' of Yun City; Jiang Xin arrives in Yun City to stop Li Zunyuan's plan to take over. The two influence each other - one solves the mystery of their birth, the other redeems themselves. Together, they oppose Li Zunyuan.<br /> </p>1604587119https://api.tvmaze.com/shows/51336https://api.tvmaze.com/episodes/1964569NaNNaNNaNNaNNaNNaNNaNNaNNaN5133651.0nan
42052503https://www.tvmaze.com/episodes/2052503/wu-shen-zhu-zai-1x80-episode-80Episode 80180.0regular2020-12-012022-09-17 10:00:002020-12-01 02:00:008.0NaNNaNNaNhttps://api.tvmaze.com/episodes/2052503NaNNaN379070.0NaNhttps://static.tvmaze.com/uploads/images/medium_portrait/299/748854.jpghttps://static.tvmaze.com/uploads/images/original_untouched/299/748854.jpg<p>The protagonist Qin Chen, who was originally the top genius in the military domain, was conspired by the people to fall into the death canyon in the forbidden land of the mainland. Qin Chen, who was inevitably dead, unexpectedly triggered the power of the mysterious ancient sword.<br /><br />Three hundred years later, in a remote part of the Tianwu mainland, a boy of the same name accidentally inherited Qin Chen's will. As the beloved grandson of King Dingwu of the Daqi National Army, due to the birth father's birth, the mother and son were treated coldly in Dingwu's palace and lived together. In order to rewrite the myth of the strong man in hope of the sun, and to protect everything he loves, Qin Chen resolutely took up the responsibility of maintaining the five kingdoms of the world and set foot on the road of martial arts again.</p>1649423444https://api.tvmaze.com/shows/54033https://api.tvmaze.com/episodes/2309444NaNNaNhttps://api.tvmaze.com/episodes/2309445NaNNaNNaNNaNNaNNaN54033104.0nan
52315116https://www.tvmaze.com/episodes/2315116/sono-koi-mousukoshi-atatamemasuka-1x05-episode-5Episode 515.0regular2020-12-01NaT2020-12-01 03:00:0015.0NaNNaNNaNhttps://api.tvmaze.com/episodes/2315116NaNNaN419045.0NaNhttps://static.tvmaze.com/uploads/images/medium_portrait/404/1012331.jpghttps://static.tvmaze.com/uploads/images/original_untouched/404/1012331.jpg<p>It's spin-off drama of <b>"Kono Koi Atatamemasu ka"</b></p>1650915213https://api.tvmaze.com/shows/61674https://api.tvmaze.com/episodes/2315117NaNNaNNaNNaNNaNNaNNaNNaNNaN61674342.0nan
62387985https://www.tvmaze.com/episodes/2387985/run-bts-5x28-ep118-photo-story-1EP.118 [Photo Story 1]528.0regular2020-12-01NaT2020-12-01 03:00:00NaNNaNNaNNaNhttps://api.tvmaze.com/episodes/2387985NaNNaN325091.0NaNhttps://static.tvmaze.com/uploads/images/medium_portrait/421/1053306.jpghttps://static.tvmaze.com/uploads/images/original_untouched/421/1053306.jpg<p>A South Korean show by the boy group BTS. The show is all about BTS doing activities, challenges and lots more.</p>1662488262https://api.tvmaze.com/shows/63967https://api.tvmaze.com/episodes/2388024NaNNaNNaNNaNNaNNaNNaNNaNNaN63967346.0nan
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81973539https://www.tvmaze.com/episodes/1973539/please-wait-brother-1x18-episode-18Episode 18118.0regular2020-12-012022-09-17 12:00:002020-12-01 04:00:0037.0NaNNaNNaNhttps://api.tvmaze.com/episodes/1973539NaNNaNNaNNaNhttps://static.tvmaze.com/uploads/images/medium_portrait/284/711240.jpghttps://static.tvmaze.com/uploads/images/original_untouched/284/711240.jpgNaN1607697965https://api.tvmaze.com/shows/52038https://api.tvmaze.com/episodes/1973545NaNNaNNaNNaNNaNNaNNaNNaNNaN52038104.0nan
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30802005101https://www.tvmaze.com/episodes/2005101/carl-webers-the-family-business-2x11-deploy-the-dronesDeploy the Drones211.0regular2020-12-312022-09-17 21:00:002021-01-01 02:00:0060.0NaN<p>The war between the Duncans and Brother X is finally coming to a conclusion and the Duncans are back to business as usual.</p>NaNhttps://api.tvmaze.com/episodes/2005101NaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1662597506https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2388518https://static.tvmaze.com/uploads/images/medium_landscape/292/732197.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/732197.jpgNaNNaNNaNNaNNaNNaNNaN39441351.0nan
30812005102https://www.tvmaze.com/episodes/2005102/carl-webers-the-family-business-2x12-the-hunt-for-brother-xThe Hunt for Brother X212.0regular2020-12-312022-09-17 21:00:002021-01-01 02:00:0060.0NaN<p>LC must decide Elijah's fate as his sons hunt down a deranged Brother X. Meanwhile Billionaire Alexander Cora plots against the unsuspecting Duncans to takeover HEAT.</p>NaNhttps://api.tvmaze.com/episodes/2005102NaNNaNNaNtt7146326https://static.tvmaze.com/uploads/images/medium_portrait/324/810377.jpghttps://static.tvmaze.com/uploads/images/original_untouched/324/810377.jpg<p>Meet the Duncans, a prominent family from Jamaica, Queens living fast and luxurious. By day, they're an upstanding family; by night, they live a dangerous secret life. The patriarch of the family, L.C. Duncan, is at the age when he's starting to think about retirement and has to decide which of his children should take over his thriving exotic car dealership. The Duncans quickly come under siege from some of the top politicians, mafia and drug cartels in the city. The Duncans will have to stick together or die separately.</p>1662597506https://api.tvmaze.com/shows/39441https://api.tvmaze.com/episodes/2388518https://static.tvmaze.com/uploads/images/medium_landscape/292/731226.jpghttps://static.tvmaze.com/uploads/images/original_untouched/292/731226.jpgNaNNaNNaNNaNNaNNaNNaN39441351.0nan